Senior AI Engineering Lead

15 hours ago


Mumbai, Maharashtra, India XHire Full time

Job Summary: We are seeking a seasoned AI Engineering Lead to spearhead the development and deployment of cutting-edge Generative AI solutions using Databricks and advanced web frameworks. As a key member of our team, you will architect and implement APIs to serve Generative AI models in production environments, design end-to-end solutions for clients, and provide expertise on pricing models.

Responsibilities:

  • Lead the development and deployment of Generative AI solutions using Databricks and advanced web frameworks.
  • Architect and implement APIs to serve Generative AI models for production environments.
  • Design end-to-end solutions for clients, focusing on GenAI applications, ensuring scalability and performance optimization.
  • Provide expertise on pricing models, manage cost estimates, and develop Bill of Materials (BoM) for client projects.
  • Collaborate with clients and internal teams to understand requirements and deliver tailored GenAI solutions.
  • Document workflows, API structures, and architectural designs, ensuring transparency and clarity for all stakeholders.
  • Effectively communicate with clients, providing regular updates on project progress and addressing any technical questions.

Requirements:

  • Minimum 7 years of relevant experience in AI/ML development and deployment.
  • Proven experience developing and deploying end-to-end applications in production environments.
  • Extensive hands-on experience with Databricks for building data pipelines and GenAI model development.
  • Strong expertise in building and deploying APIs using modern web frameworks to serve GenAI models.
  • In-depth knowledge of Generative AI models (e.g., GPT, LLAMA, Gemini, Anthropic and Open source models) and API integration.
  • Experience conducting architecture and technical discussions with clients.
  • Proficient in Python and libraries for GenAI (e.g., Hugging Face, OpenAI, Open source or custom-built transformer models).
  • Experience with cloud platforms (preferably Azure/AWS) for deploying AI and GenAI solutions.

Estimated Salary: $250,000 - $300,000 per annum, depending on location and experience. Please note that this is an estimated range and may vary based on individual circumstances.



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