Description

Key Skills: Gen AI, Generative AI, NLP

Roles and Responsibilities:

  • Lead the design, development, and deployment of Generative AI models and solutions.
  • Implement NLP, NLU, LLM, and Conversational AI techniques to enhance data processing and analysis.
  • Apply Agentic AI frameworks for advanced automation and decision-making workflows.
  • Drive MLOps practices to streamline deployment, monitoring, and lifecycle management of ML models.
  • Write and optimize Python scripts for automation, data processing, and model training.
  • Utilize LangChain and LangGraph for language modeling, processing, and integration tasks.
  • Oversee and optimize inference engines (TensorRT, TensorRT-LLM, Nvidia Triton) for production workloads.
  • Manage and mentor a team of data scientists and engineers, providing technical guidance.
  • Collaborate cross-functionally to integrate AI solutions into products and services.
  • Ensure best practices for AWS and Azure cloud deployments.
  • Monitor model performance, retrain/improve pipelines, and ensure scalability.
  • Stay updated on the latest advancements in AI, Generative AI, and NLP technologies.
  • Conduct team reviews, performance evaluations, and drive high-quality project delivery.

Skills Required:

  • Strong expertise in Generative AI, LLMs, NLP, and Conversational AI.
  • Proven hands-on experience with TensorRT, Triton, Nvidia Stack.
  • Cloud deployment experience in AWS (must-have), Azure (good-to-have).
  • Proficiency in LangGraph and LangChain frameworks.
  • Solid understanding of MLOps workflows.
  • Strong Python programming skills for automation and optimization.
  • Leadership ability to mentor and guide data science teams.
  • Problem-solving, innovation, and continuous learning mindset.

Education: Bachelor's/Master's degree in Computer Science, Data Science, AI/ML, or a related field

Key Skills
Education

Any Graduate

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