Program Manager

Minimum Years of Experience:

Key Responsibilities

• Provide technical leadership and strategic direction for the AI team.
• Lead and mentor data engineers, MLOps engineers, and ML engineers.
• Contribute to AI/ML architecture design and implementation.
• Collaborate with business, engineering, infrastructure, and data science teams to deliver production-grade ML models.
• Act as the primary point of contact, ensuring clear communication and alignment with goals.
• Guide teams in selecting optimal ML models based on use cases.
• Manage day-to-day operations while ensuring adherence to scope, quality, and timelines.
• Identify risks, develop contingency plans, and ensure stakeholder alignment.
• Stay updated on AI/ML advancements and propose innovative solutions.
• Implement best practices for scaling ML-powered features and enabling rapid experimentation.

Required Skills & Qualifications

• MBA from reputed institutions.
• Bachelors degree in engineering, Computer Science, or related field.
• 12–15 years of total experience, with at least 2 years managing AI/ML projects.
• Minimum 3+ years of experience with

  agentic workflows

  .
• Strong understanding of the

  MLOps pipeline

  , from data ingestion to production.
• In-depth knowledge of AI/ML algorithms (supervised, unsupervised, reinforcement learning).
• Proven ability to scale complex ideas from experimentation to production.
• Hands-on experience with cloud platforms and local network setup.
• Excellent communication, presentation, and interpersonal skills.
• Proven experience in team leadership, collaboration, and stakeholder management.
• Experience in process improvements and performance optimization.
• Ability to analyze and improve service delivery processes.
• Experience managing diverse teams and understanding stakeholder needs.