5 - 10 years

5 - 7 Lacs

Posted:4 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Design and optimize model serving infrastructure with a focus on low latency and cost efficiency
  • Build scalable inference pipelines across different hardware acceleration options
  • Implement monitoring and observability solutions for ML systems
  • Collaborate with ML Engineers to define best practices for deployment
  • Develop enterprise-grade, cost-efficient ML solutions
  • Work closely with MLEs, QA, and DevOps teams in a distributed environment
  • Evaluate new technologies and contribute to system architecture decisions
  • Drive continuous improvements in ML infrastructure

Required Experience & Skills:

  • 5+ years of experience in software engineering using Python
  • Hands-on experience with ML frameworks (especially PyTorch)
  • Experience optimizing ML models using hardware accelerators (e.g., AWS Neuron, ONNX, TensorRT)
  • Familiarity with AWS ML services and hardware-accelerated compute (e.g., SageMaker, Inferentia, Trainium)
  • Proven ability to build and maintain serverless architectures on AWS
  • Strong understanding of event-driven patterns (SQS/SNS) and caching strategies
  • Proficiency with Docker and container orchestration tools
  • Solid grasp of RESTful API design and implementation
  • Focus on secure, high-quality code with experience using static code analysis tools
  • Strong problem-solving, algorithmic thinking, and communication skills

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