machine learning manager

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><p><br>
As part of SAP&rsquo;s Application AI organization, you&rsquo;ll lead a team at the forefront of enterprise AI innovation. You&rsquo;ll shape how SAP&rsquo;s customers plan, build, and visualize with generative AI&mdash;across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you&rsquo;ll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><p>
As an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP&rsquo;s generative-AI services. You&rsquo;ll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you&rsquo;ll shape roadmaps, remove execution barriers, and build a high-performing engineering culture.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.</p></li><li><p>
Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.</p></li><li><p>
Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.</p></li><li><p>
Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.</p></li><li><p>
Foster a culture of collaboration, continuous learning, and experimentation within the team.</p></li><li><p>
Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.</p></li><li><p>
Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.</p></li><li><p>
Manage delivery timelines, resource allocation, and stakeholder communication.</p></li></ul><p></p><p><b><br>
What You Bring:</b></p><ul><li><p>
8+ years of professional experience in software or machine learning engineering, including at least 2+ years in engineering management or technical leadership roles.</p></li><li><p>
Strong technical background in ML/AI (LLMs, embeddings, multimodal generation, or agentic systems).</p></li><li><p>
Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.</p></li><li><p>
Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS/Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React/Next.js).</p></li><li><p>
Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.</p></li><li><p>
Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.</p></li><li><p>
Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.</p></li></ul><p></p><p><b><br>
Meet Your Team:</b></p><p>
The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services&mdash;<b>Deep Research &amp; Planning</b>, <b>Experience Builder</b>, and <b>Visual Services</b>&mdash;empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.</p><p>
Our platform combines a React/Next.js front end, a Python + FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud&rsquo;s new vector engine, with SAP&rsquo;s Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.</p><p>
#SAPInternalT4PM</p><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.<br>
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<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
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SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
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For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
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Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
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Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
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Requisition ID: 433529 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Machine Learning Engineer Manager

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 88742
</div></div></div></div><div><div><div><div>Date: Oct 24, 2025
</div></div></div></div><div><div><div><div>Location: Bengaluru
</div></div></div></div><div><div><div><div>Designation: Manager
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><ul><li>Design, develop, and deploy AI solutions using Generative AI and Agentic AI frameworks.</li><li>
Implement and optimize Multi-Agent Retrieval-Augmented Generation (RAG) systems for enterprise use cases.</li><li>
Conduct research and stay up to date with the latest trends in machine learning and deep learning.</li><li>
Write clean, scalable, and efficient Python code for AI model development and deployment.</li></ul></div></div></div></div></div><p></p>

Manager | Machine Learning (ML) | Bengaluru | Artificial Intelligence & Data

Cognizant Technology Solutions

<p></p><div><p><b>Job Summary</b></p><p>
The Sr Manager-Data Science will play a pivotal role in driving data-driven decision-making processes within the organization. With a focus on the Payer domain the candidate will leverage their extensive experience in Data Science to enhance business strategies and outcomes. This hybrid role requires a seasoned professional with a deep understanding of data analytics machine learning and statistical modeling to lead and innovate in a dynamic environment.</p><p><br>
</p><p><b>Responsibilities</b></p><ul><li>
Lead the data science team to develop innovative solutions that enhance business strategies in the Payer domain.</li><li>
Oversee the design and implementation of data models and algorithms to solve complex business problems.</li><li>
Provide strategic insights by analyzing large datasets and identifying trends and patterns.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Ensure the accuracy and reliability of data-driven insights by maintaining high standards of data quality.</li><li>
Drive the adoption of advanced analytics and machine learning techniques across the organization.</li><li>
Develop and maintain dashboards and reports to communicate findings to stakeholders.</li><li>
Mentor and guide junior data scientists to foster a culture of continuous learning and improvement.</li><li>
Evaluate and implement new data science tools and technologies to enhance team capabilities.</li><li>
Work closely with IT and data engineering teams to ensure seamless data integration and accessibility.</li><li>
Monitor industry trends and advancements in data science to keep the organization at the forefront of innovation.</li><li>
Establish best practices for data governance and security to protect sensitive information.</li><li>
Contribute to the companys purpose by using data science to improve healthcare outcomes and efficiencies.</li></ul><p><br>
</p><p><b>Qualifications</b></p><ul><li>
</li><li>Possess a strong background in data science with a minimum of 16 years of experience in the field.</li><li>
Demonstrate expertise in the Payer domain with a deep understanding of industry-specific challenges and opportunities.</li><li>
Exhibit proficiency in machine learning statistical modeling and data analytics.</li><li>
Have experience in leading and managing data science teams in a hybrid work model.</li><li>
Show capability in collaborating with cross-functional teams to drive data-driven decision-making.</li><li>
Display strong problem-solving skills and the ability to translate complex data into actionable insights.</li></ul></div>

Sr Manager-Data Science

<div></div><div><div><div><div><div>Job requisition ID :: 90616
</div></div></div></div><div><div><div><div>Date: Oct 15, 2025
</div></div></div></div><div><div><div><div>Location: Bengaluru
</div></div></div></div><div><div><div><div>Designation: Manager
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><div><b>Your potential, unleashed.</b></div><br>
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India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.</div><br>
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At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.</div><br>
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The team</b></div><br>
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The Digital Excellence Centre is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers</div><div></div><div><b><br>
Your work profile</b></div><br>
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As a <b>Manager</b> in our <b>DEC</b> Team you&rsquo;ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -</div><br>
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Work you&rsquo;ll do</b></p><br>
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As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.</p>
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In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.</p>
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Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology.</p>
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Responsibilities:</p>
<ul><li>Partner closely with stakeholders to identify high-impact applications of data to solve meaningful business problems.</li></ul>
<ul><li>Identify, mine, and analyze medium and large size datasets to unearth insights that drive new business value for clients.</li></ul>
<ul><li>Develop robust statistical and machine learning models and implement processes to evaluate, automate and improve model performance.</li></ul>
<ul><li>Lead efforts with various functions to test, deploy and iterate on data science solutions</li></ul>
<ul><li>Build, execute, and evaluate A/B tests</li></ul>
<ul><li>Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them)</li></ul><br>
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<p><b>
As a prospective candidate, you should possess:</b></p><br>
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1. Ability to process complex data sets</p>
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2. Ability to perform exploratory data analysis to discover interesting trends and relationships</p>
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3. Experience applying statistical modelling, machine learning, NLP, and other quantitative techniques to solve business problems</p>
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4. Experience in deep learning</p>
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5. Possess understanding of and ability to communicate statistics to experts and non-experts</p>
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6. Creative thinker who has proven ability to innovate through data exploration and application of solutions</p>
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7. Ability to thrive in an environment that requires flexibility and multi-tasking</p>
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8. Ability to take initiative and work with high level of independence</p>
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9. Strong technical and remote collaboration skills are a must</p>
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10. Any exposure to Generative AI would be a great addition.</p><p></p><p><br>
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Desired qualifications</b></p><br>
<ul>
<li>Graduation</li>
<li>Graduation from Eng. Background Preferred</li></ul><p><br>
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<b>Location and way of working</b></p><br>
<ul>
<li>Base location: Bangalore</li>
<li>This profile does not involve extensive travel for work.</li>
<li>Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs.</li></ul><div></div><div><br>
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Your role as a Manager</b></div><br>
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We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.</div><br>
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</div><div>In addition to living our purpose, Executive across our organization must strive to be:</div><br>
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<ul>
<li>Inspiring - Leading with integrity to build inclusion and motivation</li>
<li>Committed to creating purpose - Creating a sense of vision and purpose</li>
<li>Agile - Achieving high-quality results through collaboration and Team unity</li>
<li>Skilled at building diverse capability - Developing diverse capabilities for the future</li>
<li>Persuasive / Influencing - Persuading and influencing stakeholders</li>
<li>Collaborating - Partnering to build new solutions</li>
<li>Delivering value - Showing commercial acumen</li>
<li>Committed to expanding business - Leveraging new business opportunities</li>
<li>Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization</li>
<li>Effective communication &ndash; Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities</li>
<li>Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for</li>
</ul>
<div>the success of engagement(s)</div>
<ul>
<li>Managing change - Responding to changing environment with resilience</li>
<li>Managing Quality &amp; Risk - Delivering high quality results and mitigating risks with utmost integrity and precision</li>
<li>Strategic Thinking &amp; Problem Solving - Applying strategic mindset to solve business issues and complex problems</li>
<li>Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte</li>
<li>Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.</li></ul><div></div><div><b><br>
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<b>How you&rsquo;ll grow</b></div><br>
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Connect for impact</i></b></div><br>
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Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.</div><br>
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Empower to lead</i></b></div><br>
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You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.</div><br>
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Inclusion for all</i></b></div><br>
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At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.</div><br>
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</i></b></div><div><b><i>Drive your career</i></b></div><br>
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At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.</div><br>
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Everyone&rsquo;s welcome&hellip; entrust your happiness to us</b></div><br>
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</b></div><div>Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.</div><br>
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</div><div><b>Interview tips</b></div><br>
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We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.</div></div></div></div></div></div><p></p>

Enabling Areas - DEC - Manager - Data Scientist

Finance House

Summary <p>We are seeking a highly skilled Manager - AI Programs to spearhead the creation and implementation of the AI function at Finance House. This role is an exciting opportunity to build and lead a cutting-edge AI team from the ground up, driving innovation and transforming our services through the application of advanced artificial intelligence technologies. The ideal candidate will have strong leadership skills, a deep understanding of AI technologies, and experience in shaping AI use cases for large organizations.</p> Major Responsibilities <ul><li><b>AI use cases:</b> Identify & deliver the AI use cases across the prioritized value chains, domains, and sub domains for Finance House, aligning with our AI strategy, business goals and industry trends. Set clear priorities for AI adoption, focusing on business impact, customer experience, and operational efficiency.</li><li><b>Collaboration:</b> Work closely with senior stakeholders across departments (e.g., IT, Risk, Compliance, Audit, Information Security and Finance) to identify opportunities for AI-driven improvements in processes, customer services, and product offerings.</li><li><b>AI Tools:</b> Define and implement the necessary AI tools, agentic AI, and technologies to support use case delivery while ensuring the tech stack remains lean and unified. This also entails supporting IT in building a scalable AI infrastructure.</li><li><b>AI Project Management:</b> Oversee the development and deployment of AI projects, ensuring that they meet FH's objectives, are delivered on time, and comply with regulatory standards. Prioritize projects based on impact and feasibility.</li><li><b>Data Governance & Compliance:</b> Ensure all AI initiatives comply with relevant financial industry regulations and data privacy laws. Establish and enforce best practices in data governance, model transparency, and ethical AI usage.</li><li><b>Team Leadership:</b> In the medium term, build and lead a cross-functional AI team, including data scientists, machine learning engineers, and AI specialists. Mentor and provide guidance to team members to foster a collaborative and innovative culture.</li><li><b>Performance Monitoring & Optimization:</b> Develop metrics and performance indicators to monitor the success of AI initiatives. Continuously assess and improve AI models, algorithms, and processes to ensure optimal results.</li><li><b>Innovation & Research:</b> Stay abreast of the latest developments in AI, machine learning, and related fields. Propose new AI technologies and methodologies that can be adopted to gain a competitive edge.</li></ul> Qualifications <ul><li><b>Education:</b> A Bachelor's or Master's Degree in Computer Science, Engineering, Data Science, or a related field. Additional certifications or qualifications in AI/ML are a plus.</li><li><b>Experience:</b> Minimum of 5-8 years of experience in AI, Machine Learning, or Data Science, with at least 3 years in a leadership or managerial role. Proven track record of setting up and leading AI teams within large organizations or financial institutions. Previous experience in banking or fintech with a focus on AI and data-driven transformation. Experience managing AI projects, including scoping, execution, and delivery within a regulated environment. Strong understanding of financial services, banking products, and industry challenges is highly preferred.</li><li><b>Skills:</b> Strong knowledge in AI and machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Strong knowledge of data engineering, cloud platforms (AWS, Oracle, Azure), Experiment Management Platforms and distributed computing. Familiarity with natural language processing (NLP), computer vision, and AI-driven automation technologies. Familiarity with model deployment and serving tools - MLOps, observability tools. Familiarity with financial industry regulations and their implications on AI. Strong analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders. Leadership and people management skills, with the ability to inspire and motivate a team.</li></ul> Employment details <ul><li><b>Seniority level:</b> Mid-Senior level</li><li><b>Employment type:</b> Full-time</li><li><b>Job function:</b> Project Management, Strategy/Planning, and Research</li></ul><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV84MBx3%2bkaRW7cH%2fD70jwR4w" width="0" height="0" />

Manager - AI Programs

eBay

<div><p>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.</p><p></p><p>
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.</p><p></p><p>
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.</p><p></p><p>
Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!</p><p></p><p><b>
Who Are We?</b></p><p>
The Product Knowledge team is at the epicenter of eBay&rsquo;s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay&rsquo;s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!</p><p></p><p><b>
What Will You Do?</b></p><p>
We are looking for seasoned Applied Researchers to join us and help lead improvements, automation, and scaling of our data-heavy processes. Our Senior Researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Further, they help us design these separate projects and envision how they come together to create and power new experiences that surprise and delight our Customers. If you love a good challenge, and are good at handling complexity - we&rsquo;d love to hear from you!</p><p></p><p>
eBay is an amazing company to work for. Being on the team, you can expect to benefit from:</p><ul><li><p>
A competitive salary - including stock grants and a yearly bonus</p></li><li><p>
A healthy work culture that promotes business impact and at the same time highly values your personal well-being</p></li></ul><p>
Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world&rsquo;s population, and takes every opportunity to make this clearly apparent</p><p></p><p><b>
Job Summary</b></p><p>
As a Manager of Applied Machine Learning, you will lead a high-impact team of scientists and engineers building state-of-the-art machine learning systems to solve critical problems that affect millions of eBay users. You will set the direction, nurture talent, and ensure excellence in execution and scientific rigor, while collaborating across product, engineering, and operations to deliver measurable customer and business impact.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Drive Strategy &amp; Vision: Partner with senior leadership, product management, and other stakeholders to define and execute the machine learning roadmap aligned with business goals.</p></li><li><p>
Team Leadership: Lead, mentor, and grow a team of ML scientists and engineers. Create an environment that encourages innovation, high performance, and career development.</p></li><li><p>
Technical Oversight: Guide and review the development of machine learning models and data pipelines, ensuring scalability, scientific validity, and production readiness.</p></li><li><p>
Cross-Functional Collaboration: Collaborate with Product and Analytics teams to scope projects, prioritize initiatives, and ensure seamless data and model integration.</p></li><li><p>
Operational Excellence: Define project goals, success metrics, and delivery timelines. Ensure effective resource allocation and continuous improvement in team processes.</p></li><li><p>
Foster Scientific Rigor: Uphold high standards of experimentation, measurement, and peer review. Promote the use of reproducible research and robust evaluation practices.</p></li><li><p>
Data Strategy: Partner with the operations and data teams to ensure access to high-quality labeled data, and proactively shape data acquisition strategies where needed.</p></li><li><p>
Talent Development: Provide coaching and technical guidance to team members. Conduct performance reviews, identify skill gaps, and invest in team capability building.</p></li><li><p>
Hiring: Attract, interview, and hire top talent to grow the team and enhance its diversity of thought and background.</p></li></ul><p></p><p><b>
Minimum Qualifications</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field with 6+ years of relevant industry experience, including 3+ years in people management.</p></li><li><p>
Proven experience leading machine learning teams in an applied industrial setting.</p></li><li><p>
Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning.</p></li><li><p>
Strong programming background in Python, Java, or similar, with exposure to production-grade ML systems.</p></li><li><p>
Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL.</p></li><li><p>
Excellent communication, storytelling, and stakeholder management skills.</p></li><li><p>
Demonstrated ability to translate business needs into scientific problems and to prioritize for impact.</p></li></ul><p><br>
Additional Qualifications</p><ul><li><p>
Master&rsquo;s or Ph.D. in a relevant field (Computer Science, ML, Stats, etc.)</p></li><li><p>
Track record of impactful publications and/or patents in machine learning or related areas.</p></li><li><p>
Contributions to open-source ML tools or frameworks.</p></li><li><p>
Experience with modern large language models, graph-based ML, or knowledge graph construction.</p></li><li><p>
Strong presence in scientific communities through talks, panels, or organizing roles.</p></li></ul><p><br>
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.</p><p></p><p>
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.</p><p></p><p>
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.</p><p></p><p><br>
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</p></div>

Senior Applied Researcher

Fly Dubai

<p>Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.</p>
<p>Drives continuous process improvement and optimization. by staying informed about advancements in data engineering and AI, recommending new tools and technologies.</p>
<p>Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.</p>
<p>Develops and executes the organization s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.</p>
<p>Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.</p>
<p>Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.</p>
<p>Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.</p>
<p>Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.</p>
<p>Defines KPIs and track ROI for AI initiatives to ensure value delivery and continuous improvement.</p>
<p>Acts as a  data translator,  bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.</p>

Senior Manager - Data Science & AI

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