Senior Technical Lead - Generative AI

10 - 13 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Description

Job Title: Senior Technical Lead - Generative AI

Location:

Job Type:

Band: E3.2

Experience:


Key Responsibilities:

  • Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or GCP.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.
  • Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
  • Stay updated with the latest advancements in Generative AI and AI/ML technologies, and integrate them into ongoing projects.
  • Optimize and fine-tune AI models for performance, scalability, and reliability.
  • Develop and maintain comprehensive documentation for all AI/ML projects and processes.

Qualifications:

  • 10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.
  • Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms.
  • Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.
  • Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith
  • Experience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.
  • Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.
  • Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.
  • Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.
  • Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projects
  • Proven track record of leading and delivering complex AI/ML projects.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience with natural language processing (NLP) and computer vision.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data engineering and big data technologies.

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