Cloud Machine Learning Engineer

2 weeks ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000

Job Summary

The Machine Learning Pipeline Developer is responsible for designing, implementing and deploying scalable machine learning pipelines across cloud environments. This role requires expertise in building reproducible workflows, integrating observability tools and ensuring efficient model delivery.

  • Deploy and maintain machine learning models using AWS services such as SageMaker, Fargate and Bedrock.
  • Apply prompt engineering techniques to optimize model performance and reliability.
  • Experience with Retrieval-Augmented Generation (RAG) applications is an asset.
  • Collaborate with development teams to build and maintain internal model-serving platforms.
  • Implement containerized services using Docker and deploy them to AWS infrastructure.
  • Write Infrastructure-as-Code (IaC) using Terraform to automate cloud resource provisioning.
  • Participate in unit and end-to-end testing of ML pipelines, services and monitoring workflows.
  • Monitor model health and track performance metrics using AWS CloudWatch and internal observability tools.

Requirements

  • Strong programming skills in Python, with experience in pandas, SQL and ML frameworks.
  • Familiarity with AWS services such as Lambda, Glue and CloudWatch.
  • Experience with container workflows and model lifecycle management.
  • Foundational knowledge of observability practices and model deployment fundamentals.
  • Interest or experience in supporting AI systems used by developers or analysts.
  • Strong communication and documentation skills with a collaborative team mindset.
  • Ability to assume ownership of assignments and meet deadlines.

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