AI/ML Project Manager

Optimum Solutions; Chennai; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Optimum Solutions in Chennai, India is seeking an experienced AI-Project Manager to drive end-to-end delivery of AI/ML, GenAI, and data-driven initiatives within the AI Center of Excellence.

The role requires 12+ years of experience and hands-on expertise in ML lifecycle, governance, stakeholder management, and hybrid delivery methods. You will lead projects with cross-functional teams across Business, Marketing, Data Science, and Risk, ensuring quality and compliance.

Qualifications

• 12+ years of experience managing AI/ML/GenAI projects.
• Strong focus on customer personalization, segmentation, and campaign optimization.
• Deep understanding of ML lifecycle, feature engineering, model validation, MLOps and deployment.
• Experience with NBA, recommendations, and propensity models.
• Proficient in A/B testing, test-and-control frameworks, and campaign performance measurement.
• Knowledge of AI governance, Responsible AI, model risk, data privacy, and regulatory compliance.
• Experience coordinating with Business, Marketing, Data Science, Technology, Risk, and Compliance.
• Familiar with Agile, Scrum, Waterfall and hybrid project delivery.
• Skilled in project planning, RAID management, executive reporting, and vendor coordination.

Skills

AI/ML project delivery

Customer personalization

ML lifecycle & MLOps

NBA/recommendation models

A/B testing & measurement

AI governance & data privacy

Stakeholder management

Hybrid delivery methods

Planning & RAID management

Tools

Jira

Confluence

Azure DevOps

MS Project

ServiceNow

Marketing automation platforms

Job description

We are looking for an experienced AI-Project Manager to drive end-to-end delivery of AI/ML, GenAI, customer personalization, and data-driven initiatives within the AI Center of Excellence.

Experience:

12+ Years

Key Skills & Expertise:

• Project management and delivery of AI/ML, GenAI, and data science initiatives
• Customer personalization, segmentation, and campaign optimization
• Understanding of ML lifecycle, feature engineering, model validation, MLOps, and deployment
• Next Best Action (NBA), recommendation and propensity models
• A/B testing, test-and-control frameworks, and campaign performance measurement
• AI governance, Responsible AI, model risk, data privacy, and regulatory compliance
• Stakeholder management across Business, Marketing, Data Science, Technology, Risk, and Compliance
• Agile, Scrum, Waterfall, and hybrid project delivery
• Project planning, RAID management, executive reporting, and vendor coordination

Preferred Tools & Platforms:

• Jira, Confluence, Azure DevOps, MS Project, ServiceNow
• Azure AI, Azure Databricks, Azure Machine Learning, MLflow
• Microsoft Copilot, Python, SQL
• Campaign Management / Marketing Automation platforms

Good to Have:

• Banking / Financial Services / FinTech experience
• PMP, PRINCE2, SAFe, or Agile certifications
• AI / GenAI or PMI-CPMAI certification
• Exposure to Agentic AI and automation initiatives