Qureos Mentor

InMobi

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
Position Summary:</b><br>
We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics. The performance of our models and experiments are seen astonishingly quickly &ndash; the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate &ndash; you see the value of your work incredibly fast.</div>
<div><b>
Who Are You?</b></div>
<ul>
<div>Our scientists are expected to possess deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.</div>
<div>In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), they need to be competent with data science languages and tools, such as Python or Apache Spark; which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.</div>
<div>Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.</div>
<div>We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists &ndash; a rock-star data scientist can come from any academic field.</div>
</ul>
<div><b>Required:</b></div>
<ul>
<div>Master&rsquo;s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's from a reputed College with additional experience.</div>
<div>7-10 years of work experience in a quantitative field, with model building and validation experience.</div>
<div>Ad tech related industry experience is a plus. There, you would have applied algorithms and techniques from Machine Learning, Deep Learning and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.</div>
<div>Comfortable with software programming and statistical platforms such as R, Python etc. including visualization tools.</div>
<div>Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.</div>
<div>Comfortable collaborating with cross-functional teams.</div>
<div>Familiarity with challenges of the identity-less world, particularly for iOS and Android</div>
<div>Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.</div>
<div>Possess a high degree of curiosity and ability to rapidly learn new areas.</div>
<div>This position is based out of Lucknow, and the hired individual is expected to provide strong leadership qualities to work locally with both engineers and also provide guidance to other Data Scientists onsite. In short, we expect the individual to grow into a role model and be responsible for the deliverables end-to-end</div></ul><br>
<div></div>
<div><b>
What will you do?</b></div>
<ul>
<div>You will be responsible for leading one or more data science efforts for inMobi DSP, a gold mine that is being explored for riches. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.</div>
<div>This will also include designing, development, testing of product experiments.</div>
<div>You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and solve problems with the rest of the team.</div>
<div>Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.</div>
<div>Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi&rsquo;s work.</div>
<div>You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.</div>
<div>You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.</div>
<div>You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.</div>
<div>Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.</div>
<div>We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences &ndash; there are many opportunities for you to shine.</div>
</ul></div><div><div><b>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Staff Data Scientist I

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
Position Summary:</b><br>
We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics. The performance of our models and experiments are seen astonishingly quickly &ndash; the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate &ndash; you see the value of your work incredibly fast.</div>
<div><b>
Who Are You?</b></div>
<ul>
<div>Our scientists are expected to possess deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.</div>
<div>In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), they need to be competent with data science languages and tools, such as Python or Apache Spark; which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.</div>
<div>Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.</div>
<div>We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists &ndash; a rock-star data scientist can come from any academic field.</div>
</ul>
<div><b>Required:</b></div>
<ul>
<div>Master&rsquo;s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's from a reputed College with additional experience.</div>
<div>7-10 years of work experience in a quantitative field, with model building and validation experience.</div>
<div>Ad tech related industry experience is a plus. There, you would have applied algorithms and techniques from Machine Learning, Deep Learning and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.</div>
<div>Comfortable with software programming and statistical platforms such as R, Python etc. including visualization tools.</div>
<div>Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.</div>
<div>Comfortable collaborating with cross-functional teams.</div>
<div>Familiarity with challenges of the identity-less world, particularly for iOS and Android</div>
<div>Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.</div>
<div>Possess a high degree of curiosity and ability to rapidly learn new areas.</div></ul><br>
<div></div>
<div><b>
What will you do?</b></div>
<ul>
<div>You will be responsible for leading one or more data science efforts for inMobi DSP, a gold mine that is being explored for riches. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.</div>
<div>This will also include designing, development, testing of product experiments.</div>
<div>You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and solve problems with the rest of the team.</div>
</ul><ul><div>Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.</div>
<div>Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi&rsquo;s work.</div>
<div>You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.</div>
<div>You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.</div>
<div>You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.</div>
<div>Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.</div>
<div>We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences &ndash; there are many opportunities for you to shine.</div></ul></div><div></div><div><div><b><br>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><h3 class="jobSectionHeader"><b>
Overview of the role:</b></h3>
<div>
We are looking for a <b>Staff Applied Scientist I</b> to join our algorithmic and research science team. You&rsquo;ll work on mathematically rigorous, research-driven problems at production scale, while also shaping the direction of key initiatives and mentoring other scientists. This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact. Specifically, our scientists tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, along with their practical applications. We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions.</div>
<div>
As the heart of the InMobi Exchange, our team optimizes the company&rsquo;s core business functions and creates the strategic moat that sets us apart in the market. As a Staff Scientist, you will not just &ldquo;use models&rdquo;&mdash;you will formulate them, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production&mdash;while providing thought leadership to the broader team. Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality.</div>
<div>
If you thrive on solving complex, high-impact problems and want to see your ideas shape the future of a global exchange, this is the place where your work will truly make a difference.</div>
<p></p>
<h3 class="jobSectionHeader"><b>The impact you'll make:</b></h3>
<ul>
<div><div>Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.</div>
</div>
<div><div>Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling&mdash;in non-stationary, adversarial environments.</div>
</div>
<div><div>Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks).</div>
</div>
<div><div><b>Provide technical leadership by reviewing scientific approaches, mentoring junior scientists, and guiding the team toward robust methodologies.</b></div>
</div>
<div><div>Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics.</div>
</div>
<div><div>Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems.</div>
</div>
<div><div>Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies.</div>
</div>
<div><div>Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.</div>
</div>
<div><div>Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior.</div>
</div>
</ul><p></p><h3 class="jobSectionHeader"><b>The experience we need:</b></h3>
<ul>
<div><div>Ph.D. (preferred) or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline.</div>
</div>
<div><div><b>7&ndash;10 years of experience</b> working on algorithmic or applied research problems, including significant production deployment experience.</div>
</div>
<div><div>Deep grounding in one or more of:</div>
<ul>
<div><div>Statistical learning theory, mathematical optimization, discrete algorithms, probability theory, and information theory</div>
</div>
<div><div>Causal inference, decision theory, game theory, auction theory</div>
</div>
<div><div>Online learning, bandits, RL, Bayesian methods</div>
</div>
</ul></div><div><div>Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus&mdash;even if not recent.</div>
</div>
<div><div>Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.</div>
</div>
<div><div>Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.</div>
</div>
<div><div>A researcher&rsquo;s mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation.</div>
</div>
<div><div>End-to-end ownership: you can go from idea to production and thrive in applied settings.</div>
</div>
<div><div>Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required.</div>
</div>
</ul></div><div><div><b>The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Staff Applied Scientist I

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
Product Management at InMobi: </b>We offer an opportunity to have immediate impact with the company and our products. You shall be working at the cutting edge of technology connecting various businesses at InMobi centrally. The work that you shall do will be mission critical for InMobi and is in direct path for success of multiple of core product offerings in InMobi.</div>
<div>
Our Product leaders at InMobi own the business strategy behind the product by building subject matter expertise, define its functional requirements aligned to various user personas through PRDs, and drive the launch of product features by owing the management of its development cycle with peer Engineering teams. We design world-class products within one of the fastest growing companies in this space with a truly global footprint.</div>
<div>
Role:<b> </b><b>Senior Product Manager &ndash; Data &amp; AI Platform </b>for the Central Data Repository &amp; AI Platform Team</div><div><br>
As a <b>Senior Product Manager &ndash; Data &amp; AI, </b>you will be responsible for driving the roadmap for InMobi&rsquo;s <b>next-generation data and AI infrastructure</b> &mdash; unifying data across products, systems, and business functions while enabling the company to leverage artificial intelligence responsibly and effectively.</div>
<div>
You will work across cross-functional teams &mdash; including Engineering, Data Science, Analytics, and Business Operations &mdash; to deliver scalable platform capabilities that power automation, predictive insights, and operational excellence.</div>
<div><b>
What You&rsquo;ll Do</b></div>
<div><b>
1. Product Strategy &amp; Vision</b></div>
<ul>
<div>Define and evolve the product vision and roadmap for InMobi&rsquo;s enterprise Data &amp; AI Platform &mdash; including CDR, Unified Data Warehouse (UDW), and AI/ML enablement capabilities.</div>
<div>Align platform goals with InMobi&rsquo;s strategic business and data transformation objectives.</div>
<div>Identify opportunities to integrate AI across business systems to improve process efficiency, accuracy, and decision intelligence.</div>
</ul>
<div><b>2. Platform Ownership</b></div>
<ul>
<div>Own the product lifecycle for core data platform components &mdash; from data ingestion and transformation to data governance, modeling, and AI pipeline integration.</div>
<div>Collaborate with engineering teams to design and deliver scalable, secure, and efficient data and AI systems leveraging technologies such as Databricks, Power BI, and cloud-native data platforms.</div>
<div>Build foundational capabilities that enable AI experimentation, model deployment, and monitoring at scale.</div>
</ul>
<div><b>3. Execution Excellence</b></div>
<ul>
<div>Translate complex business requirements into detailed PRDs, user journeys, and data product specifications.</div>
<div>Partner closely with data engineering and AI teams to define sprint goals, manage backlogs, and ensure timely delivery.</div>
<div>Be hands-on with platform interfaces and datasets to validate requirements and drive insights during BAU and transformation cycles.</div>
</ul>
<div><b>4. Cross-Functional Collaboration</b></div>
<ul>
<div>Work closely with finance, sales, account management, and product stakeholders to design integrated data and AI solutions that serve cross-enterprise use cases.</div>
<div>Drive alignment across global teams &mdash; product, engineering, data science, and business &mdash; ensuring all dependencies are managed effectively.</div>
<div>Be the single Product POC for Engineering counterparts to define platform logic, edge cases, and implementation details.</div>
</ul>
<div><b>5. AI &amp; Analytics Integration</b></div>
<ul>
<div>Partner with AI scientists and ML engineers to prioritize and productize AI use cases that drive measurable business impact.</div>
<div>Define frameworks for responsible AI adoption, ensuring transparency, explainability, and compliance across systems.</div>
<div>Enable a self-serve analytics and AI ecosystem for users across InMobi.</div>
</ul>
<div><b>What We Expect from You</b></div>
<ul>
<div><b>Experience:</b> 9+ years overall with 7+ years in Product Management, building and scaling enterprise-level <b>data and AI products</b>.</div>
<div><b>Domain Expertise:</b> Strong understanding of <b>data warehousing, data governance, analytics platforms, and AI/ML systems</b>.</div>
<div><b>Technical Acumen:</b> Ability to work with large datasets, define data models, and collaborate with engineering teams on architecture and integrations.</div>
<div><b>Analytical Mindset:</b> Deep comfort with data-driven decision-making; familiarity with SQL, BI tools, and data pipelines.</div>
<div><b>AI Product Fluency:</b> Knowledge of ML lifecycle management, model training/deployment workflows, and AI platform integration.</div>
<div><b>Leadership:</b> Experience guiding junior PMs, leading cross-functional planning, and managing competing priorities with clarity.</div>
<div><b>Collaboration:</b> Strong stakeholder management skills, with the ability to drive consensus across global, multi-functional teams.</div>
<div><b>Execution Bias:</b> A self-starter who thrives in ambiguity, connects dots across domains, and delivers outcomes that move the needle.</div>
</ul>
<div><b>Preferred Experience</b></div>
<ul>
<div>Experience in <b>enterprise system transformation programs</b> involving CRM, ERP, and monetization platforms.</div>
<div>Familiarity with <b>data privacy, security, and ethical AI frameworks</b>.</div>
<div>Prior experience in <b>digital marketing, ad-tech, or data-driven B2B platforms</b>.</div>
</ul>
<div><b>Why Join InMobi</b></div>
<ul>
<div>Drive InMobi&rsquo;s <b>enterprise-wide data and AI transformation</b> and shape the future of how intelligence powers our products and decisions.</div>
<div>Collaborate with world-class teams across engineering, AI, and business to deliver high-impact solutions.</div>
<div>Work in a culture that values <b>ownership, innovation, and continuous learning</b>.</div>
<div>Be part of an organization consistently recognized as a <b>Great Place to Work</b> and one of the <b>World&rsquo;s Most Innovative Companies</b>.</div>
</ul>
<div><b>Industry</b></div>
<ul>
<div>Marketing &amp; Advertising</div>
<div>Data &amp; AI Platforms</div>
<div>Enterprise Software</div>
</ul>
<div><b>Job Function</b></div>
<ul>
<div>Product Management &ndash; Data &amp; AI Platform</div>
<div>Enterprise Transformation &amp; Systems Integration</div>
</ul></div><div><div><b>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Senior Product Manager - Central Data Repository & Data Platform AI

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
About the job</b></div>
<div><b>
What does the team do?</b></div>
<div>
Opportunity is part of the evolving cybersecurity group, which is laser-focused on setting up industry benchmarks in managing &amp; guarding against digital risks in a &ldquo;Cloud Native- DevOps Only&rdquo; environment. It is a lean-mean-special action group where every cyber sentinel gets an opportunity to work across domains, has the independence to challenge the status quo &amp; mature cyber practices. Our core competence revolves around &ldquo;Product &amp; Platform security&rdquo;, &ldquo;Cloud Native Risk Management&rdquo;, and &ldquo;Detection &amp; Response&rdquo;.</div>
<div><b>
What will you be doing?</b></div>
<ul>
<div>Own the technology risk management practice and concentrate efforts on continuous improvement in the GRC function aligned to global standards like NIST CSF, ISO 27001, ISO 31000, Cloud Security Alliance, etc.</div>
<div>Develop and maintain cybersecurity policies, procedures, and standards that are aligned with global standards.</div>
<div>Own, operate, and improvise a vendor risk management program.</div>
<div>Evaluate emerging technologies for their adoption to strengthen InMobi&rsquo;s defences.</div>
<div>As part of risk management, perform periodic and on-demand risk assessment through process-level walkthroughs, control testing, etc., for the identification and assessment of IT risks and controls.</div>
<div>Ensure ISO27001 certification is sustained for our certified entities and work towards obtaining fresh certification for uncertified ones</div>
<div>Drive SOC2 Type 1 and Type 2 reporting effort by coordinating with all relevant business units</div>
<div>Effectively drive risk remediation through persistent communication, validation, and influence with our key stakeholders.</div>
<div>Maintain risk register and develop IT Risk Management metrics and reports.</div>
<div>Improve compliance with security standards and policies across various related entities, business units, products, and third parties.</div>
<div>Monitor open third-party security issues and remediation actions associated with security control gaps to ensure timely closure.</div>
<div>Provide subject matter expertise to teams that seek Infosec approval by evaluating and solving with Security as a core consideration.</div>
<div>Drive information security awareness programs by regularly conducting workshops to educate employees about information security and best practices.</div>
<div>Respond to Clients&rsquo; Request For Proposal/Information (RFP/RFI) by answering the questionnaire.</div>
<div>Review information security clauses in client and vendor contracts and ensure it is in line with our policies and practices on the ground.</div>
<div>Lead the data governance/data exchange program by having a handle on all intra-company data transfers, ensuring our data is safe and within our control.</div></ul><br>
<div></div>
<div><b>
What is expected of you?</b></div>
<ul>
<div>4-6 years of experience in the information security &amp; risk management domain.</div>
<div>Zealous to unlearn &amp; re-learn risk management practices in a &ldquo;Cloud Native - DevOps Only&rdquo; environment.</div>
<div>Strong understanding of security governance, compliance and risk management principles.</div>
<div>Strong understanding of mitigation methodologies and regulatory requirements about information security, privacy, and/or data security.</div>
<div>Ability to work independently with little direction and/or supervision.</div>
<div>Superior communication skills with the ability to ask questions, escalate roadblocks early, and interact effectively at multiple levels in the organization.</div>
<div>Keen attention to detail with the ability to correct on the fly and work independently.</div>
<div>Analytical aptitude with an emphasis on investigative, methodical, critical questioning and logical thinking; a data-driven decision maker.</div>
<div>Mindset to standardize &amp; maximise automation in the security &amp; risk management space.</div>
<div>High business acumen &amp; ability to understand business objectives, technology stack, and evolve security as a business enabler capability.</div>
<div>Ability to operate, decide &amp; evolve in ambiguous situations.</div>
<div>Curious to learn &amp; adopt emerging technologies.</div>
<div>Holds vendor-neutral information security certifications (desirable).</div>
</ul></div><div><div><b>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Senior Information Security Analyst (GRC)

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div></div><div></div><div><br>
<div><b>
Who are we and</b><b> What do we do?</b></div>
<div>
InMobi is the largest independent mobile advertising network in the world. With offices on five continents, InMobi provides advertisers, publishers and developers with a uniquely global solution for advertising. The network is growing and now delivers the unprecedented ability to reach 1.64 Billion devices, in over 165 countries, through more than 200 Billion mobile ad impressions monthly. The company has over 17 offices including Bangalore (HQ), London, New York, Paris, San Francisco, Shanghai, Beijing, Seoul, Singapore, Tokyo and Dubai.</div>
<div>
For more information, please visit http://www.inmobi.com</div><br>
<div></div>
<div><b>
What&rsquo;s the</b><b> InMobi</b><b> family like?</b></div>
<div>
Consistently featured among the &ldquo;Great Places to Work&rdquo; in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion.</div><br>
<div></div>
<div><b>
About</b><b> InMobi</b><b> DSP</b></div>
<div>
InMobi DSP aims to be the world&rsquo;s most customer-centric mobile performance advertising platform. The core offering is the ability to own performance KPIs for a direct advertiser or agency, while providing full-funnel transparency into media, inventory sources, clicks, and impressions. The incumbent will be the resident trading expert, and will help accelerate InMobi DSP&rsquo;s growth in the broad proposition called &ldquo;performance advertising&rdquo;, covering mid to lower funnel campaigns, and by bringing in product, operations and business expertise in all of InMobi operating markets, with a focus on North America and Asia.</div><br>
<div></div>
<div><b>
Who you are:</b></div>
<div>
You are passionate about the Technology, Startups, and the AdTech industry. You have the drive and tenacity to get the job done and build scalable businesses. You love building ideas from scratch and leverage data for decision making. You have experience of working in an extremely fast paced and fluid environment where ideas can be obsolete within 6 months or less.</div><br>
<div></div>
<div><b>
Key</b><b> Goals:</b></div>
<div>
<ul><li><b>Achieve Revenue Milestones</b> for InMobi DSP from ecommerce, retail and QSR verticals. While this business currently already exists, the goal is to achieve a $100M annual run-rate in spends on behalf of our advertisers over the next 12-month timeframe. This would include mobile user acquisition and retargeting as horizontal propositions.</li></ul>
<ul><li><b>Streamline Operations for the InMobi DSP revenue execution</b>: Product Marketing and Go-to-market, Data/Audiences and overall proposition, Client Delight and Net promoter score, Trading and Profitability, External Intel and Competitive Insight, Creative Strategy and Operations, and overall performance. Improve performance by 25% vs. Default mode solely through operational excellence.</li></ul></div><br>
<div></div>
<div><b>
Roles and responsibilities:</b></div><br>
<div></div>
<div>
<ul><li>Will be responsible for <b>end-to-end revenue</b><b> delivery</b><b> </b>for the business including:</li></ul>
</div><ul><div>OKR setting for the trading teams to ensure end-to-end alignment and incentivization for a steady growth effort</div>
<div>Weekly product meetings to align product strategy to business strategy</div>
<div>Weekly trading meetings to ensure all campaigns are scaling as intended</div>
<div>Weekly/Bi-weekly creative sync ups to ensure that InMobi stays at the forefront of creative innovation in the industry</div>
</ul>
<div> 2. Will be responsible for <b>team building, hiring, and development</b>:</div>
<ul>
<div>Drawing out and aligning on core organization (structure)</div>
<div>Hiring and training people for specific direct reporting/indirect reporting roles in the eCommerce/Retail verticals</div>
<div>Ensuring dedicated resourcing for key projects</div>
<div>Training and development of new team members to ensure they become productive and revenue generating within a 3-month timeframe</div>
</ul>
<div> 3. Will be responsible for <b>Direct Client</b><b> Services and Delivery</b>, and ensuring that InMobi DSP is the most customer-centric DSP in the ecosystem:</div>
<ul>
<div>Building very clear sales and customer-success playbook/guideline documents and training sales teams on expectation setting for performance, pricing etc.</div>
<div>Building a clear direct relationship with advertisers/AMs to ensure that we always have a clear feedback loop that puts us in their trusted group of partners.</div>
<div>Building supply side and measurement partnerships to ensure success.</div></ul><br>
<div></div>
<div><b>
Required</b>:</div>
<ul>
<div>7-10 years of relevant experience</div>
</ul><ul><div>Quantitative bent of mind, with experience running complex mathematical models and forecasting</div>
</ul><ul><div>BA/BS/BTech degree in Statistics, Engineering, Mathematics, or any other equivalent quantitative-heavy major</div>
</ul><ul><div>Experience working in Corporate Strategy, Consultancy, or Investment Banking sectors, with a preference for E-commerce and/or the advertising industry</div>
</ul><ul><div>Experience hiring and managing an operational team of 3-5 people in prior roles</div>
</ul><ul><div>Exceptional analytical skills and a high level of comfort with large data sets to be able to understand key metrics and apply these to performance optimizations</div>
</ul><ul><div>Strong problem solving &amp; conceptual thinking skills</div>
</ul><ul><div>Ability to work cross functionally across time zones, and in a team environment</div>
</ul><ul><div>Ability to influence key stakeholders across regions (i.e. when they are not in person)</div></ul></div><div></div><div><div><b><br>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Manager - Programmatic Buying

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
Machine Learning Engineer</b></div>
<div><b>
Location:</b> [Bengaluru]<br>
<b>Team:</b> Machine Learning Engineer<br>
<b>Experience Level:</b> Mid (3&ndash;5+ years)</div><br>
<div></div>
<div><b>
About the Role</b></div>
<div>
As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem-solving, rapid experimentation, and owning end-to-end machine learning workflows.</div>
<div>
You will work closely with data scientists and cross-functional teams to build robust data pipelines, scalable platforms, and production-ready ML services.</div><br>
<div></div>
<div><b>
Key Responsibilities</b></div>
<ul>
<div><b>Model Development &amp; Deployment</b></div>
</ul><ul><div>Design, train, and deploy machine learning models with a strong focus on fast, reliable experimentation.</div>
</ul><ul><div>Build APIs and microservices to serve ML models at scale.</div>
</ul><ul><div>Feature development &amp; Engineering</div>
</ul><ul><div>Design &amp; deliver asks on backend features &amp; efficiently deliver features.</div>
</ul><ul><div>Work closely with the analytics, architects &amp; PM to deliver features asks as per ETA.</div>
</ul><ul><div>Identify solutions that can help us improve scalability, minimize bugs and reduce cost</div>
</ul><ul><div>Understanding of when to escalate questions/issues that arise during development</div>
</ul><ul><div>Able to efficiently diagnose bugs and issues</div>
</ul><ul><div>Familiar with various design and architectural patterns</div>
</ul><ul><div><b>Pipeline &amp; Infrastructure</b></div>
</ul><ul><div>Develop and maintain data ingestion, preprocessing, and model training pipelines.</div>
</ul><ul><div>Deploy scalable data and model solutions that improve efficiency across ML workflows.</div>
</ul><ul><div><b>Collaboration &amp; Integration</b></div>
</ul><ul><div>Work closely with</div>
</ul><ul><div>Define and execute end-to-end ML solutions from ideation to production.</div>
</ul><ul><div><b>Monitoring &amp; Research</b></div>
</ul><ul><div>Monitor model performance in production, using statistical methods to ensure robustness.</div>
</ul><ul><div><b>Ownership &amp; Delivery</b></div>
</ul><ul><div>Lead or contribute to POCs and full-scale ML feature rollouts.</div>
</ul><ul><div>Manage project deadlines and deliverables in an agile environment.</div></ul><br>
<div></div>
<div><b>
Basic Qualifications</b></div>
<ul>
<div>Bachelor's degree with 4+ years OR Master's degree with 3+ years in Computer Science, Machine Learning, Data Science, or related field.</div>
</ul><ul><div>Proven experience in developing and deploying ML models in production.</div>
</ul><ul><div>Strong proficiency in <b>Python</b> and ML libraries like <b>TensorFlow</b>, <b>PyTorch</b>, or <b>scikit-learn, spark, java &amp; distributed systems.</b></div>
</ul><ul><div>Understanding of statistical methods and hypothesis testing.</div>
</ul><ul><div>Comfortable working with structured and unstructured data.</div>
</ul><ul><div>Experience working in collaborative, cross-functional teams.</div>
</ul><ul><div>Loves to code and learn new concepts, technologies and frameworks</div></ul><br>
<div></div>
<div><b>
Preferred Qualifications</b></div>
<ul>
<div>Demonstrated ability to rapidly validate hypotheses through experimentation.</div>
</ul><ul><div>Experience in building <b>recommendation systems</b> or similar ML applications.</div>
</ul><ul><div>Exposure to <b>advertising</b>, <b>ranking</b>, or <b>personalization</b> systems is a <b>significant plus</b>.</div>
</ul><ul><div>Familiarity with <b>SQL</b>, data warehousing, and distributed data systems.</div>
</ul><ul><div>Prior research experience or involvement in a data science-focused role.</div>
</ul><ul><div>Strong mathematical foundation, particularly in statistics and linear algebra.</div>
</ul><ul><div>Excellent verbal and written communication skills.</div>
</ul><ul><div>Hands on experience in Databricks is a plus.</div>
</ul><ul><div>Experience in the ad tech industry a plus</div></ul><br>
<div></div>
<div><b>
Why Join Us?</b></div>
<ul>
<div>Contribute to a fast-paced and innovative product impacting millions of users.</div>
</ul><ul><div>Work alongside world-class AI/ML talent in a collaborative environment.</div>
</ul><ul><div>Opportunity to shape new product lines powered by machine learning and AI.</div>
</ul><ul><div>Grow with a team that values creativity, ownership, and continuous learning.</div>
</ul>
<div><b>What do we expect from you?</b></div>
<ul>
<div>Experience: 2-5 years development experience.</div>
<div>Education: B.E. / B.Tech in Computer Science or equivalent</div>
<div>Strong development, coding experience in one or more programming languages like OO Programming (Java), Scala, Spark, Python. Expertise in Data Structures, Algorithms, Concurrency.</div>
<div>Experience of working on Big Data technologies and applications</div>
<div>Experience in Micro-services Architecture, multi-threading, performance-oriented programming and designing skills</div>
<div>Good organization, communication and interpersonal skills</div>
<div>Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace</div>
<div>Must be a self-starter who can work well with minimal guidance and in fluid environment</div>
<div>Provide good attention to details</div>
<div>Must be excited by challenges surrounding the development of highly scalable &amp; distributed system for building audience targeting capabilities</div>
<div>Agility and ability to adapt quickly to changing requirements and scope and priorities.</div>
</ul>
<div><b>Nice to have skills</b></div>
<ul>
<div>Experience of online advertising domain</div>
<div>Experience of working on massively large scale data systems in production environments</div>
<div>Experience in leveraging user data for behavioral targeting and ad-relevance</div>
<div>Experience of Big Data analytics domain</div>
<div>Experience of building products that are powered by data and insights</div>
<div>Experience on hosting and deploying application on public cloud like Msft Azure, GCP, AWS.</div></ul></div><div></div><div><div><b><br>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Machine Learning Engineer II - Backend

Join InMobi and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

InMobi

ABOUT_COMPANY

Staff Data Scientist I

Staff Data Scientist I

Staff Applied Scientist I

Senior Product Manager - Central Data Repository & Data Platform AI

Senior Information Security Analyst (GRC)

Manager - Programmatic Buying

Machine Learning Engineer II - Backend