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AI / ML Application Technical Analyst

AI / ML Application Technical Analyst

Tata Consultancy ServicesMumbai, Maharashtra, India
24 days ago
Job description

AI / ML, GENAI, NLP, Deep Learning, LLM Models

AI / ML Application Technical Analyst

Required Technical Skill Set

  • Overall Experience : 5+ Years of experience in development / triaging / debugging roles
  • AI / ML Knowledge : 2+ years’ experience with common AI / ML algorithms, architectures, tools, and practices. Familiarity with model training, inference, and quantization.
  • AI / ML Frameworks : Knowledge about PyTorch, ONNX, TensorFlow and any other framework
  • AI / ML Model Repositories : Familiarity with repositories like Huggingface, Ultralytics, FuxiCTR
  • Technical Verification : Familiarity with software or model verification processes, ensuring that software / models meet specified requirements.

Desired Competencies (Technical / Behavioral Competency)

Must-Have

(Ideally should not be more than 3-5)

  • Overall Experience : 5+ Years of experience in development / triaging / debugging roles
  • AI / ML Knowledge : 2+ years’ experience with common AI / ML algorithms, architectures, tools, and practices. Familiarity with model training, inference, and quantization.
  • AI / ML Frameworks : Knowledge about PyTorch, ONNX, TensorFlow and any other framework
  • AI / ML Model Repositories : Familiarity with repositories like Huggingface, Ultralytics, FuxiCTR
  • Technical Verification : Familiarity with software or model verification processes, ensuring that software / models meet specified requirements.
  • Python and / or C / C++ programming
  • Linux and shell script
  • GitHub
  • Dockers / Kubernetes / Containers
  • Good-to-Have

  • Understanding of installing Linux / Windows drivers and debugging failures of drivers
  • Knowledge about regression testing / verification tools
  • Debugging code to pin-point areas of problems
  • Working with end users to address their questions, debugging their problems and documenting solutions.
  • CI / CD tools and pipeline
  • Experience with DevOps and CI / CD practices.
  • Experience with data engineering and machine learning pipelines.
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