Overview: Expert AI/ML Product Lead needed to drive end-to-end development of our Autonomous ML Engineer product from execution to deployment. This hands-on role requires deep technical expertise across the entire AI/ML lifecycle combined with product leadership skills. Key Responsibilities: Lead development of AI products with focus on Generative AI and agent-based systems. Enterprise grade product development ensuring the AI/ML platform meets stringent enterprise needs for security, compliance, scalability, and reliability (SOC 2, ISO 27001, GDPR, HIPAA, etc.). Architect and implement ML and data engineering workflows, also integrating pipelines for Datalakes and large-scale compute clusters. Perform hands-on development using Python for model development and integration. Design and execute model fine-tuning, training, and evaluation processes. Build and optimize AI agent implementation workflows. Establish MLOps practices for reliable scaling and monitoring of models. Manage GPU compute clusters and Kubernetes deployments for high-performance AI systems. Collaborate with cross-functional teams to align technical capabilities with business requirements. Oversee product releases, coordinate feature rollouts, and manage SLAs, ensuring timely delivery and minimal downtime. Maintain thorough documentation, including technical specs and user guides. Engage directly with key enterprise clients to gather insights, feedback, emerging requirements, drive adoption, and address high-priority issues. Required Qualifications: 5+ years of hands-on experience in AI/ML product development. Expert-level Python programming skills. Proven experience with data engineering on large-scale systems (Spark, HPC) and data ingestion pipelines. Deep knowledge of Generative AI model training and fine-tuning. Experience building and deploying AI agents in production/dev environments. Strong background in MLOps, including monitoring and scaling models. Experience with GPU compute clusters and Kubernetes orchestration. Excellent communication skills and ability to translate technical concepts. Lead the entire product development with cross functional teams with close coordination and sync ups. Familiarity with frameworks and tools (Docker, Kubernetes, Spark, TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure). Strong knowledge of AI/ML workflows, MLOps (CI/CD, model deployment, model registry), and data engineering principles. Details: Location: Hybrid Department: Product Lead / AI/ML Division / Software Development Reports To: Chief Product Officer (CPO) Benefits: Competitive salary. Culture: We value integrity, curiosity, and collaboration. Youll join a team that encourages innovative thinking and hands-on experimentation. This is an immediate opening for a hands-on technical product leader who can drive software product development in the AI agent and AI/ML space. Join our team on the mission of building worlds first autonomous ML Engineer.,
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Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Lead AI/ML Product Job in Neo at Delhi