Description

Lead strategic AI initiatives, defining roadmaps and architecting enterprise solutions for critical business problems.

This role is remote.

Responsibilities

• Define the technical vision, architecture, and roadmap for ML/AI initiatives, setting engineering standards and best practices.
• Act as the primary technical point of contact, engaging senior stakeholders to gather requirements and manage scope.
• Drive the design, development, deployment, and operationalization of production-grade Generative and Agentic AI applications.
• Lead delivery teams in an agile environment, mentoring engineers and coordinating distributed teams across geographies.
• Present complex technical concepts and trade-offs to executive audiences, influencing decisions and building consensus.

Required Skills

• 10+ years of experience in machine learning engineering and AI development.
• 2+ years in a technical lead or team lead capacity.
• Deep expertise in Generative AI, including transformers, diffusion models, and text/image/audio synthesis.
• Hands-on experience with Agentic AI frameworks such as LangGraph, ADK, and Autogen.
• Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch.
• Proven track record of leading ML/AI projects end-to-end and mentoring engineers.
• Experience with MLOps, model deployment pipelines, and scalable solution deployment on AWS, GCP, or Azure.
• Knowledge of responsible AI practices, model governance, and risk mitigation.
• Bachelor's or master's degree in Computer Science, AI, Statistics, Math, or related field.

Key Skills

Education

Any Graduate