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Gen AI - Lead (6 to 10 years)

Gen AI - Lead (6 to 10 years)

Bajaj Technology ServicesIndia
30+ days ago
Job description

Experience : - 6-10 years

Relevant experience : - 3-5 years (GEN-AI projects)

Primary Role

  • Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically.
  • Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems.
  • Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams.

Responsibilities & KPIs

  • Guiding the team technically and helping them solve the technical problems, throughout the
  • project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions.

  • Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development.
  • Build and maintain workflows to manage multiple POCs and project workloads efficiently.
  • Collaborate with data scientists and domain experts to ensure model accuracy and relevance.
  • Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques
  • Optimize AI models for speed, accuracy, and cost-efficiency.
  • Ensure compliance with security and ethical standards.
  • Address challenges like data drift and model degradation
  • Proactively introduce innovative generative AI methodologies to address complex business challenges.
  • Foster a culture of experimentation and continuous learning within the team.
  • Ensure alignment between business goals and technical implementations.
  • Desired Skills

  • B.E. / B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred.
  • Good leadership and people management skills.
  • Excellent communication skills for translating technical concepts to non-technical stakeholders.
  • Hands-on experience with Python
  • Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture.
  • Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face.
  • Familiarity with MLOps and CI / CD pipelines for AI workflows.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions.
  • Familiarity with current AI trends and open source technologies.
  • Strong problem-solving and analytical skills.
  • Ability to work on multiple projects simultaneously and manage priorities effectively.
  • Exposure to financial services domains is a plus.
  • Basic understanding of UI Frameworks (e.g. Angular) is a plus.
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