Senior Machine Learning Platform Engineer

PubMatic

Pune, Maharashtra, India
**
Scalable ml pipeline development
Distributed systems spark hadoop kafka
Model observability and drift monitoring
** PubMatic is seeking a Senior Machine Learning Platform Engineer to design and enhance machine learning infrastructure that supports large-scale data analytics in the adtech industry. The role involves collaboration with cross-functional teams to optimize ML workflows, utilizing advanced technologies to handle vast datasets. **

Job Summary

  • You will design and scale the infrastructure and frameworks that enable machine learning development across a global ecosystem handling trillions of ad impressions.
  • The role involves building large-scale data workflows using distributed systems like Spark, Hadoop, Kafka, and Snowflake to support analytics and model training.
  • You will collaborate with ML Engineers and Data Scientists to translate AI solutions from concept to production while establishing foundational capabilities like embeddings and observability frameworks.

Matching Summary

Match Score: 75

** PubMatic is seeking a Senior Machine Learning Platform Engineer to design and enhance machine learning infrastructure that supports large-scale data analytics in the adtech industry. The role involves collaboration with cross-functional teams to optimize ML workflows, utilizing advanced technologies to handle vast datasets. **

Skills & Requirements

Must-have

  • Scalable ML pipeline development
  • Distributed systems Spark Hadoop Kafka
  • Model observability and drift monitoring
  • GPU accelerated computing optimization
  • Triton inference server experience

Nice-to-have

  • Reinforcement learning implementation
  • Retrieval-augmented generation RAG
  • Embedding framework creation
  • Competitive intelligence analytics
  • Bid stream troubleshooting expertise

Key Requirements

  • Senior level experience in ML platform engineering
  • Proficiency in Python and distributed computing frameworks
  • Experience with cloud infrastructure and containerization

Work Rights

Not specified

Tailored Resume

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