Description

Key Responsibilities:

  • Share expertise on AI and generative technologies, offering thought leadership for COE Practice.
  • Architect scalable AI systems that seamlessly integrate with current needs.
  • Lead AI model development and implementation, staying abreast of the latest advancements in AI.
  • Conduct code reviews, troubleshoot, and optimize performance for top-notch solutions.
  • Experience in working on RFP/Presales activities, estimations and cloud migration strategies for applications.
  • Collaborate with cross-functional teams to drive innovation and meet project objectives.
  • Stay updated on industry trends and technologies to foster innovation and growth.


 

Requirements:

Experience: 12+ years in AI/ML Architecture

Technical Skills:

  • Providing technical sales strategies and Data Science & AI application deployments.
  • Proven experience with LLMs, including fine-tuning and deployment
  • Advanced knowledge of RAG architecture and implementation
  • Hands on Experience in Tensorflow and Data science.
  • Should have worked on Classic AI.
  • Strong background in MLOps and model monitoring
  • Experience with distributed computing and GPU optimization

Programming:

  • Proficiency in programming languages such as Python, R, or Java, and familiarity with AI libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn
  • Experience with graph databases and vector stores
  • Knowledge of SQL and NoSQL databases

Key Skills
Education

B.Tech/B.E (IT) or higher

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