About the Role At PubMatic data operates at unmatched scale As a Senior Machine Learning Platform Engineer you will design and scale the infrastructure and frameworks that enable machine learning development experimentation and production across a global ecosystem handling trillions of ad impressions You will collaborate closely with ML Engineers Data Scientists and Product stakeholders to accelerate experimentation maximize efficiency and translate AI solutions from concept to production This role offers direct exposure to petabyte-scale datasets industry-standard ML efficiency tools e g Triton inference GPU accelerated computing and the prospect to evaluate and adopt emerging AI ML technologies You will contribute to the next-generation ML platform for adtech enabling advanced use cases such as troubleshooting issues in bid stream competitive intelligence benchmarking forecasting reinforcement learning and retrieval-augmented generation RAG while also establishing foundational capabilities like embeddings and observability frameworks What You ll Do Platform Development Design and maintain scalable ML pipelines and platforms for ingestion feature engineering training evaluation inference and deployment Big Data Analytics Build and optimize large-scale data workflows using distributed systems Spark Hadoop Kafka Snowflake to support analytics and model training Experimentation Observability Develop frameworks for experiment tracking automated reporting and observability to monitor model health drift and anomalies Work with industry-standard ML efficiency tools to optimize training workloads accelerate experiments and monitor performance at scale AI ML Enablement Provide reusable components SDKs and APIs that empower teams to leverage AI insights and ML models effectively Automation Drive CI CD workflow orchestration and infrastructure-as-code practices for ML jobs ensuring reliability and reproducibility Collaboration Partner cross-functionally with Product Data Science and Engineering teams to align ML infrastructure with business needs Innovation Stay ahead of emerging trends in Generative AI ML Ops and Big Data to introduce best practices and next-gen solutions Impact Growth Opportunities Work with petabyte-scale datasets and billions of transactions powering global adtech Apply AI ML to deal troubleshooting competitive intelligence benchmarking forecasting and actionable insights Build advanced frameworks such as RAG systems reinforcement learning strategies and embedding platforms Convert business challenges into ML products pioneering industry-first solutions Gain hands-on exposure to GPU accelerated computing Triton inference and modern ML Ops frameworks Advance your career with a clear growth path into applied ML engineering and research Be part of a culture that values experimentation thought leadership and cross-functional collaboration We d Love for You to Have Hands-on experience with petabyte-scale datasets and distributed systems Data Analytics Proficiency in SQL Python pandas NumPy and analytics BI tools for data exploration and monitoring Exposure to graph-based systems Neo4j RAG approaches or embedding platforms Experience building recommendation systems personalization pipelines or anomaly detection frameworks Familiarity with BI tools such as Looker or Grafana A passion for applied AI ML and eagerness to bring research ideas into production Big Data Strong expertise with Spark Hadoop Kafka and data warehousing Snowflake SparkSQL ML Ops Infrastructure Experience with CI CD Docker Kubernetes Airflow MLflow and experiment tracking tools Programming Skilled in Python Scala Java for data-intensive applications Problem Solving Strong analytical skills and ability to debug complex data ML pipeline issues Collaboration Excellent communication and teamwork skills in cross-functional settings Qualifications Should have a bachelor s degree in engineering CS IT or equivalent degree from well-known Institutes Universities Additional Information Return to Office PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule 3 days in office and 2 days working remotely that is intended to maximize collaboration innovation and productivity among teams and across functions Benefits Our benefits package includes the best of what leading organizations provide such as paternity maternity leave healthcare insurance broadband reimbursement As well when we re back in the office we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more Diversity and Inclusion PubMatic is proud to be an equal opportunity employer we don t just value diversity we promote and celebrate it We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status About PubMatic PubMatic is one of the world s leading scaled digital advertising platforms offering more transparent advertising solutions to publishers media buyers commerce companies and data owners allowing them to harness the power and potential of the open internet to drive better business outcomes Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising we enable content creators to run a more profitable advertising business which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand