ml engineering manager

Bold llc

<div></div><div><div><div><div>Noida, Uttar Pradesh, India
</div><div>Data Engineering &amp; Analytics</div></div></div></div><p></p>
<br><div><p>BOLD is seeking for the newest addition to our existing Data Science team, you&rsquo;ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You&rsquo;ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products &ndash; More towards the role required</p>
<div>
<div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p><b>ABOUT THIS TEAM</b></p>
<p>
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.</p>
<p>
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.</p>
<p><b>
WHAT YOU&rsquo;LL DO</b></p>
<ul>
<li>Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs.</li>
<li>Responsible for converting business requirements into robust data science algorithms.</li>
<li>Responsible for providing technical leadership to a team of data science engineers.</li>
<li>Responsible for design, development, deployment of AI/ML, NLP, statistical &amp; content recommendation algorithms that may not require LLMs.</li>
<li>Leverage our rich data sets of user data to perform research, develop models and create data products with our Development &amp; Product teams</li>
<li>Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience</li>
<li>Collaborates effectively with cross functional teams to deliver end-to-end products &amp; features.</li>
<li>Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.</li>
<li>Responsible for creating model validation framework.</li>
<li>Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data.</li>
<li>Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams.</li>
<li>Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation.</li>
<li>Assess, inspire and motivate a high performing team of data science professionals.</li>
</ul>
<p><b>WHAT YOU&rsquo;LL NEED
</b></p><ul><li>Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution.</li>
<li>Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods.</li>
<li>10+ yrs of working experience in MLData science with NLP background</li>
<li>Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus.</li>
<li>Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design .</li>
<li>Experience with Solr/OpenSearch/Elasticsearch &hellip;</li>
<li>Experience with embedding &amp; vector search</li>
<li>Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch).</li>
<li>Experience in leading a team of 3-5 data scientists.</li>
<li>Experience using tools to deploy models into the production environment such as Jenkins</li>
</ul>
<p><b>WHAT&rsquo;S GOOD TO HAVE</b></p>
<ul>
<li>Experience with Cloud infrastructure and platforms (Azure, AWS)</li>
<li>Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.</li>
<li>Experience with IR &amp; RecSystems (Candidate retrieval vs re-ranking, cold start &hellip;)</li>
</ul>
<p><b>EXPERIENCE-</b></p>
<ul>
<li>Engineering Manager, Data Science- 10 years+</li>
</ul>
<p>#LI-SV1</p><br>
<p></p>
</div></div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<div><p><b>Outstanding Compensation</b></p>
<ul>
<li>Competitive salary</li>
<li>Tax-friendly compensation structure</li>
<li>Bi-annual bonus</li>
<li>Annual Appraisal</li>
<li>Equity in company</li>
</ul>
<p><b>100% Full Health Benefits</b></p>
<ul>
<li>Group Mediclaim, personal accident, &amp; term life insurance</li>
<li>Group Mediclaim benefit (including parents' coverage)</li>
<li>Online Health (OPD) Consultation Benefit</li>
<li>Personal accident and term life insurance coverage</li>
</ul>
<p><b>Flexible Time Away</b></p>
<ul>
<li>24 days paid leaves</li>
<li>Declared fixed holidays</li>
<li>Paternity and maternity leave</li>
<li>Compassionate and marriage leave</li>
<li>Covid leave (up to 7 days)</li>
</ul>
<p><b>Additional Benefits</b></p>
<ul>
<li>Internet and home office reimbursement</li>
<li>In-office catered lunch, meals, and snacks</li>
<li>Certification policy</li>
<li>Cab pick-up and drop-off facility</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>About BOLD</b></h2>
<div><p><b>We Transform Work Lives</b></p>
<p>
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.</p>
<p><b>We Celebrate And Promote Diversity And Inclusion</b></p>
<p>
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.</p></div></div></div></div><p></p>

Engineering Manager- Data Science (Search and Match)

Tekion

<div><div><p><b>About Tekion:</b></p>
<p>
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.</p></div><p>
Job Description:</p>
<p>
Tekion is seeking a passionate and dynamic Senior Manager of Applied Science to lead a team of applied Scientists focused on building next-generation AI applications on the cloud. You will work closely with product, business, machine learning engineering, and customer success teams to align priorities, timelines, and deliverables. You will drive AI/ML development efforts and ensure customer engagements are supported with high-quality, scalable solutions that deliver measurable impact.</p>
<p>
Key Responsibilities:</p><br>
<p>
Leadership and Team Management</p>
<ul>
<li>Lead, mentor, and manage a team of applied scientists, including senior scientists and team leads.</li>
</ul><ul><li>Build and scale a high-performing team of 5-8 scientists; provide regular mentoring and establish clear career development paths.</li>
</ul><ul><li>Set and promote best practices for research, development, code quality, and technical excellence</li><br>
</ul>
<p>Customer Engagement &amp; Deliverable Management</p>
<ul>
<li>Collaborate with product and customer success teams to prioritize customer needs and align development timelines accordingly.</li>
</ul><ul><li>Integrate customer feedback into development cycles, adapting priorities as business needs evolve.</li>
</ul><ul><li>Act as the technical point of contact for customer engagements, setting clear expectations for deliverables and timelines.</li>
</ul><ul><li>Ensure high-quality, on-time delivery of customer-facing AI/ML products that meet or exceed expectations.</li><br>
</ul>
<p>Product Development &amp; Strategy</p>
<ul>
<li>Lead the execution of the R&amp;D and product roadmap, aligning ML initiatives with business goals and customer priorities.</li>
</ul><ul><li>Drive product strategy in collaboration with product management, business development, and operations.</li>
</ul><ul><li>Provide architectural and technical leadership on key projects, ensuring robustness, scalability,and flexibility.</li><br>
</ul>
<p>Scalability &amp; Best Practices</p>
<ul>
<li>Foster a high-performing team through agile workflows, continuous improvement, and strong delivery processes.</li>
</ul><ul><li>Architect and implement scalable AI/ML solutions aligned with ASD's long-term vision, using cloud-native technologies and microservices.</li>
</ul><ul><li>Oversee the full ML lifecycle-including data collection, model training, validation, deployment, and monitoring-ensuring effective team collaboration and resource management.</li>
</ul><ul><li>Promote advanced techniques such as model compression, quantization, and distributed training.</li>
</ul><ul><li>Champion industry best practices in development to ensure code quality, performance, and scalability.</li>
</ul><ul><li>Stay current with advancements in ML and lead team engagement in the broader scientific community.</li>
</ul><ul><li>Collaborate with design, product, and engineering teams to deliver high-performance solutions in a fast-evolving environment.</li><br>
</ul>
<p>Required Qualifications</p>
<ul>
<li>Bachelor's, Master's, or Ph.D. in Data Science, Mathematics, Operations Research, Applied</li>
</ul><ul><li>Mathematics, Computational Science, or related fields.</li>
</ul><ul><li>Strong foundation in probability, statistics, and scientific problem-solving.</li>
</ul><ul><li>12+ years of hands-on experience in analytics, data science, and deep learning in business-critical environments.</li>
</ul><ul><li>3+ years of experience managing teams of 5 or more, preferably in applied science or cross-functional settings..</li>
</ul><ul><li>Proven track record of delivering high-impact, data-driven solutions to complex business problems.</li>
</ul><ul><li>Proficient in machine learning, deep learning, and explainable AI techniques, with the ability tocommunicate technical concepts to non-technical stakeholders.</li>
</ul><ul><li>Experience developing and deploying state-of-the-art ML models tailored to specific business needs.</li>
</ul><ul><li>Strong programming skills in Python and SQL; experience with feature engineering and deep learning pipelines.</li>
</ul><ul><li>Familiarity with deep learning frameworks such as TensorFlow, Keras, and PyTorch.</li>
</ul><ul><li>Experience with computer vision (e.g., OpenCV) and natural language processing (e.g., spaCy).</li>
</ul><ul><li>Skilled in the Design of Experiments for scientific testing and optimization.</li>
</ul><ul><li>Proficient in Git for version control and collaboration.</li>
</ul><ul><li>Working knowledge of cloud platforms such as AWS, GCP, and Azure.</li>
</ul><ul><li>Strong analytical thinking and structured problem-solving abilities.</li>
</ul><ul><li>Excellent communication and collaboration skills in cross-functional teams.</li><br>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Demonstrated leadership experience in mentoring junior engineers and managing cross-functional projects.</li>
</ul><ul><li>Proven innovation track record&mdash;solutions that delivered significant business impact or led to patents.</li>
</ul><ul><li>Self-motivated, proactive problem-solver with strong project ownership.</li>
</ul><ul><li>Domain knowledge or experience in recommendation systems, NLP, or computer vision.</li>
</ul><ul><li>Strong collaboration skills across multiple teams, with an ability to manage conflict and align priorities.</li></ul><p></p><div><p><br>
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.</p>
<p>
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.</p></div></div>

Senior Manager, Applied Science

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4304</p></div>
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</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.</p>
<p>
In this hybrid role you will report to a Sr Staff Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li>Lead the multi-task fine-tuning of multi-billion parameter models, and its release to production</li>
<li>Lead the design and implementation of ML methods for distilling multiple expert models into one multi-task model</li>
<li>Managed releases of multi-billion parameter models replacing a deployed model used by thousands or millions of customers</li>
<li>Build resilient and high performing teams through people development and hiring,</li>
<li>Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution</li>
<li>Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience</li>
<li>5+ years experience in Machine Learning and/or Computer Vision</li>
<li>2+ year in managing ML engineering or research teams</li>
<li>Experience with Python</li>
<li>Experience with ML frameworks like PyTorch or JAX</li>
</ul>
<p><b>We Prefer:</b></p>
<ul>
<li>MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline</li>
<li>Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI</li>
<li>Experience with C++</li>
<li>Experience with real-time system design</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff TLM, Perception, Fine-Tuning & Model Releases

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4304</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.</p>
<p>
In this hybrid role you will report to a Sr Staff Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li>Owned model updates and model deployment in an automated data selection/model update pipeline, for an ML system serving millions of rides</li>
<li>Lead the design and implementation of data selection and incremental model updates, for a multi-billion parameter model</li>
<li>Developed and deployed methods for in-field monitoring of deployed ML models, and detect improvements or regressions after a model update, for an ML system serving millions of rides</li>
<li>Build resilient and high performing teams through people development and hiring,</li>
<li>Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution</li>
<li>Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience</li>
<li>5+ years experience in Machine Learning and/or Computer Vision</li>
<li>2+ year in managing ML engineering or research teams</li>
<li>Experience with Python</li>
<li>Experience with ML frameworks like PyTorch or JAX</li>
</ul>
<p><b>We Prefer:</b></p>
<ul>
<li>MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline</li>
<li>Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI</li>
<li>Experience with C++</li>
<li>Experience with real-time system design</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff TLM, Perception, Continuous Learning & Monitoring

black.ai

<p></p><b>Company Description </b> <p><b>Join the team redefining how the world experiences design. </b> </p> <p>Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! </p> <p>Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. </p> <p><b>Where and how you can work </b> </p> <p>Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide and Auckland. But you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. </p> <b>Job Description </b> <p><b>What you'd be doing in this role: </b> </p> <p>As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. </p> <p><b>At the moment, this role is focused on: </b> </p> <ul> <li>Defining and delivering the long-term AI platform strategy, aligning technical direction with Canva's broader product and AI research vision. </li> <li>Defining and delivering the next-generation AI platform, transforming how AI is developed, evaluated, and deployed at global scale. </li> <li>Partnering with leaders across Engineering, Product, and Data to ensure AI enablement across Canva's ecosystem. </li> <li>Coaching and developing a diverse team of engineering leads and senior engineers across our global workforce to achieve technical excellence at scale. </li> <li>Ensuring the AI Platform remains reliable, secure, and performant while enabling rapid innovation. </li> <li>Acting as a visible champion for AI and platform excellence across Canva and the wider engineering community. </li> </ul> <p><b>You're probably a match if </b> </p> <ul> <li><p>You're a platform believer and technical innovator at heart, driven to lead and expand foundational AI capabilities at scale that redefine what's possible. </p> </li> <li><p>You've successfully led large-scale engineering or platform teams in AI/ML, data, or infrastructure domains. </p> </li> <li><p>You have deep technical expertise in modern AI platforms, distributed systems, or cloud-native architectures. </p> </li> <li><p>You anticipate challenges before they arise and bring clarity and direction to complex, cross-functional problems. </p> </li> <li><p>You're known for visible, forward-leaning leadership - shaping direction early and rallying people behind shared goals. </p> </li> <li><p>You balance autonomy with visibility - managing up and across senior leadership confidently and transparently. </p> </li> <li><p>You build cultures of accountability, empowerment, and support, where teams thrive on trust and ownership. </p> </li> </ul> <p><b>About the team </b><br>At Canva, we empower everyone to design, using technology to simplify challenges and enhance the enjoyable parts of the design process. Our Generative AI (GenAI) supergroup exists to make Canva feel less like a tool, but more like a creative partner that wows - an AI collaborator that understands your intent, amplifies your ideas, and helps the world create with joy. You can see our recent launches in </p> <p>The AI Platform Group is a key part of Canva's Generative AI Supergroup and broader AI ecosystem, laying the technical foundation for Canva's next wave of transformative AI experience. From massively scalable model serving infrastructure to next-generation training and evaluation platforms, we enable thousands of engineers and product teams to create innovative, responsible, and reliable AI features used by millions around the world. </p> <p><b>What's in it for you? </b> </p> <p>Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. </p> <p><b>Here's a taste of what's on offer: </b> </p> <ul> <li><p>Equity packages - we want our success to be yours too </p> </li> <li><p>Inclusive parental leave policy that supports all parents & carers </p> </li> <li><p>An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more </p> </li> <li><p>Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally </p> </li> </ul> <p>Check out for more info. </p> <p><b>Other stuff to know </b> </p> <p>We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. </p> <p>We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! </p> <p>Please note that interviews are conducted virtually. </p> <p></p>

Engineering Director - AI Platform (ANZ Remote)

code guardian tech international private limited

<p>Job Summary:</p><p>We are hiring an experienced Data Scientist (AI/ML) &ndash; Manager Level to lead the development of advanced machine learning, deep learning, and AI-driven solutions. The ideal candidate will handle end-to-end model building&mdash;from data collection and preprocessing to model deployment and performance monitoring. This role requires strong expertise in ML frameworks, real-world AI applications, big data systems, and cross-team collaboration.</p><p>Key Responsibilities:</p><p>1. Develop, train, and evaluate ML and Deep Learning models for classification, regression, clustering, NLP, and computer vision tasks.</p><p>2. Clean, preprocess, and transform large structured and unstructured datasets.</p><p>3. Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling.</p><p>4. Build scalable data pipelines and automate model deployment using MLOps workflows.</p><p>5. Research and experiment with cutting-edge AI/ML algorithms and technologies.</p><p>6. Collaborate with data engineers, developers, domain experts, and stakeholders.</p><p>7. Maintain documentation and version control for datasets, models, and code.</p><p>Required Qualification:</p><p>1. B.E/B.Tech / MCA / MBA / PG in Computer Science, Data Science, AI/ML, or related fields (Minimum 60% aggregate / First Division).</p><p>2. Certifications in AI/ML, Deep Learning, Neural Networks, Big Data Analytics, or related areas.</p><p>3. Additional training in TensorFlow, PyTorch, Hadoop, Kubernetes, MLOps is a plus.</p><p>4. Strong knowledge of SQL/NoSQL databases.</p><p>5. 7+ years of experience in AI/ML model development, OCR, data visualization, and indexing.</p><p>Required Skills:</p><p>1. Strong programming skills in Python or R.</p><p>2. Hands-on experience with ML libraries and frameworks like Scikit-learn, TensorFlow, Keras, PyTorch.</p><p>3. Experience with NLP, computer vision, predictive modeling, and deep learning.</p><p>4. Expertise in data preprocessing, feature engineering, model validation &amp; evaluation.</p><p>5. Experience with big data technologies such as Hadoop, Spark, Hive.</p><p>6. Experience using data visualization tools (Power BI, Tableau, Matplotlib, etc.)</p><p>7. Prior experience developing AI solutions in finance, healthcare, e-commerce, cybersecurity, or telecom.</p><p>8. Participation in open-source projects, Kaggle competitions, or published research is an added advantage.</p><p>Job Type: Full-time</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

Data Scientist (AI/ML)

Skyworks Solutions

<div><div><b>Division:</b> Information Technology</div><div><b>
Employment Status:</b> Exempt</div><div><b>
Salary Grade:</b> 111</div><div><b>
Shift:
</b></div><div><b>Requisition ID:</b> 76164</div><div><i>
Please be aware that if you are selected to formally interview for an internal position you will be required to notify your current manager. Please refer to the Employee Transfers Guidelines posted on Skylink.</i></div><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><p>
Seeking a passionate, hands on technical AI /ML experienced engineer to join our growing team and solve exciting engineering problems in the semiconductor space. This position will work closely with multidisciplinary teams, product managers, Data engineers, data scientists, and business stakeholders to bring AI solutions to production.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><ul><li>
 Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring.</li><li>
Lead the implementation of containerized ML workloads using Kubernetes.</li><li>
Design and Develop ML Models for high impact engineering solutions. Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute.</li><li>
Automate model lifecycle management including versioning, rollback, and performance tracking.</li><li>
 Ensure high availability, security, and compliance of ML systems.</li><li>
 Develop infrastructure as code using tools like Terraform or Helm.</li><li>
 Establish and enforce best practices for model governance and reproducibility.</li><li>
Lead and mentor a team of AI/ML engineers and ML operations specialists, fostering a collaborative and innovative environment.</li><li>
Design, implement, and maintain scalable and reliable machine learning infrastructure and pipelines.</li><li>
Establish best practices for model development, deployment, monitoring, and lifecycle management.</li><li>
Collaborate with data scientists and engineers to productionize ML models.
</li><li>Manage and optimize cloud and on-premises resources for efficient training, serving, and experimentation of machine learning models.</li><li>
Ensure compliance with data privacy, security, and ethical standards in all AI/ML operations.</li><li>
Automate processes for continuous integration and deployment (CI/CD) of machine learning models.</li><li>
Drive adoption of MLOps tools and technologies, championing innovation and efficiency.</li><li>
Develop documentation, training programs, and onboarding resources for new team members and stakeholders.</li><li>
Establish metrics and KPIs to measure the quality and impact of AI/ML models in production environments.</li><li>
Stay current with industry trends, research, and emerging technologies, integrating relevant advances into operational practices.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Required Experience and Skills</b></h2></div><div><ul><li>
Bachelor with minimum 12+ years of professional experience in machine learning, artificial intelligence, or related fields. Preferably with a Master&rsquo;s degree or A PhD or relevant research experience would be a plus. in Computer Science, Engineering, Mathematics, Statistics, or a related field.</li><li>
Extensive experience with Kubernetes and container orchestration.</li><li>
Proficiency in Python and Bash scripting.
</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
</li><li>Familiarity with cloud platforms (Azure(preferred), GCP).
</li><li>Knowledge of CI/CD tools and monitoring systems.</li><li>
Experience managing and guiding AI/ML engineering and operations team.</li><li>
Extensive expericence in MLOps practices: monitoring, scaling, and automating ML workflows</li><li>
Experience with big data platforms: Databricks, Hadoop, Spark, Dataflow, etc or comparable products</li><li>
Familiarity with advanced topics such as reinforcement learning, generative models, or explainable AI</li><li>
Knowledge of neural networks, deep learning architectures such as CNNs, RNNs, Transformers and Generative AI.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Experience and Skills</b></h2></div><div><ul><li>
Experience with MLflow, or similar platforms.
</li><li>Exposure to data versioning tools like DVC or Databricks Delta Lake.
</li><li>Understanding of model explainability and compliance frameworks.</li><li>
Proficiency in programming languages such as Python (preferred), Java, or C++ .7 years experience</li><li>
Deep understanding of machine learning frameworks: PyTorch, scikit-learn, Keras, etc.</li><li>
Experience with data manipulation tools: NumPy, SQL, Pandas</li><li>
Familiarity with cloud and Data computing platforms: Azure, Azure DevOps, DataBricks or comparable platforms like GCP, BIgQuery</li><li>
Knowledge of containerization and orchestration: Docker, Kubernetes</li><li>
Experience in deploying machine learning models to production</li><li>
Understanding of software engineering best practices: version control (Git), unit testing, CI/CD pipelines</li></ul></div></div></div><p>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</p></div>

Senior Manger of AI/ML Ops

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