Industry: Enterprise AI and SaaS — delivering production-grade machine learning and AI solutions for enterprise customers across customer experience, workflow automation, and analytics. Sector: AI/ML platform engineering and product delivery for cloud-native deployments.Role: Technical Program Manager - AI/ML (Hybrid, India). Join a fast-paced engineering organization to lead cross-functional delivery of ML products, owning project planning, technical coordination, and operationalisation of models at scale.Role & Responsibilities

Define program roadmaps and drive end-to-end delivery for AI/ML initiatives—prioritise features, sequence work, and manage releases across data, model, and infra teams.
Coordinate technical design reviews, unblock engineering teams, and ensure alignment between Data Science, ML Engineering, Product, and DevOps.
Implement and run Agile rituals; maintain sprint plans, backlogs, and delivery metrics to consistently meet milestones and SLAs.
Manage vendor and stakeholder communications—translate business requirements into technical acceptance criteria and success metrics (latency, throughput, accuracy, cost).
Oversee model deployment pipelines, monitoring, and rollbacks; partner with MLOps to ensure reproducible CI/CD for training and inference.
Drive risk identification and mitigation, prepare executive status reporting, and continuously improve delivery processes and operational playbooks.

Skills & Qualifications

Must-Have

Agile
Scrum
Jira
Confluence
MLOps
Model deployment

Preferred

AWS
Docker
Kubernetes

Qualifications (summary): Proven experience managing technical programs in AI/ML or data platforms, strong track record of shipping ML-powered features to production, and the ability to translate complex technical trade-offs into clear delivery decisions. Experience working with cross-functional teams in a hybrid environment across India is preferred.
Benefits & Culture Highlights

Hybrid work model with focused collaboration days and flexible remote options.
Opportunity to work on cutting-edge ML systems and influence product direction end-to-end.
Structured mentorship, continuous learning budget, and a performance-driven culture that rewards impact.

Apply if you are a delivery-minded technical leader passionate about taking ML models from research to reliable, scalable production systems and thrive working at the intersection of data science, engineering, and product.
Skills: aws,jira,agile,ml,data science,features,scrum,confluence,docker,teams,drive,model deployment

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AI/ ML (TECHNICAL PROJECT MANAGER)