Description

Roles & Responsibilities

  • Understand the business use cases, derive requirements, and design & build solutions; work on AI and NLP.
  • Design, develop, and implement accelerators on various NLP use cases.
  • Deploy models using Git CI/CD pipelines with on-premise infrastructure. (SetFit, PyTorch, Hugging face, Haystack, LLM, Git Actions, CI/CD, Docker, Kubernetes, AWS, ArgoCD, MLFlow etc..).
  • Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases.
  • AI architecture and pipeline planning.
  • Understand the workflow and pipeline architectures of ML, including knowledge of advanced analytics tools (such as SAS, R, and Python).


 

Requirements

  • Positions required a Bachelor's in Computer Science/ Electronics and Communication Engineering/ advanced Mathematics with 5+ years of experience in Software Engineering/ML Engineering/Software Development.
  • Travel may be required.


 

Key Skills
Education

Any Graduate

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