Senior AI Project Manager

3 days ago

Ghaziabad, Uttar Pradesh, India beBeeProgram Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Project Leadership Role

We're seeking a seasoned Program Manager to spearhead AI/ML projects from inception to delivery. As the program manager, you will oversee project planning, technical oversight, and team management to drive successful outcomes.

Key Responsibilities:

  • Project Planning: Define deliverables, roles, responsibilities, and project scope for AI/ML initiatives.
  • Technical Oversight: Provide hands-on technical guidance, conduct code reviews, and manage the development of AI/ML systems.
  • Team Management: Supervise and mentor technical teams, fostering a collaborative environment for AI and data engineering.
  • Cross-functional Collaboration: Work closely with product management, data science, and engineering teams to define project strategies and integrate AI into products.
  • Strategic Planning: Develop and oversee project requirements, schedules, and roadmaps for AI/ML initiatives, aligning with business goals.
  • Technical Expertise: Drive innovation in areas like foundation models, Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and multi-modal LLMs.
  • Production Deployment: Oversee the build-out of end-to-end ML systems for production, focusing on scalability, performance, and reliability.

Required Skills & Expertise:

  • AI/ML Fundamentals: Deep understanding of Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP) concepts.
  • Programming & Data: Proficiency in Python, SQL, and data manipulation libraries such as Pandas and NumPy.
  • Ai Technologies: Experience with Large Language Models (LLMs), foundation models, RAG, and prompt engineering.
  • Tools & Platforms: Familiarity with AI experiment tracking tools like Weights & Biases and configuration management tools like Hydra.
  • Project Management: Strong organizational skills, ability to multitask, and experience managing project schedules, scope, and budgets.
  • Leadership & Communication: Proven ability to lead and inspire technical teams, communicate technical concepts to diverse stakeholders, and align AI initiatives with business objectives.

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