Intellicore is a global services provider with a focus exclusively on delivering world class services in the domains of Oracle Enterprise Resource Planning, Enterprise Performance Management, Business Intelligence & Analytics and Digital Transformations.

You can learn more about our offerings by visiting our website: https://www.intellicorecg.com/
Job Title: Project Manager – AI & Machine Learning
Location: Bangalore, Pune
Job Summary
We are seeking an experienced Project Manager – AI & Machine Learning to lead the planning, execution, and delivery of AI/ML initiatives across the organization. The ideal candidate will bridge the gap between business stakeholders and technical teams, ensuring successful implementation of Artificial Intelligence, Machine Learning, Generative AI, Data Science, and Analytics projects. The role requires strong project management expertise, stakeholder management skills, and a solid understanding of AI/ML concepts and technologies.

Key Responsibilities
Project Planning & Delivery
Lead end-to-end delivery of AI/ML projects from initiation to deployment.
Define project scope, objectives, timelines, milestones, and deliverables.
Create and manage project plans, budgets, resource allocation, and risk mitigation strategies.
Ensure projects are delivered on time, within scope, and within budget.
Monitor project progress and provide regular status updates to stakeholders. [interviewguy.com], [staragile.com]
Stakeholder & Team Management
Collaborate with business leaders to understand requirements and translate them into AI/ML solutions.
Coordinate with Data Scientists, ML Engineers, Data Engineers, Solution Architects,



and Business Analysts.
Facilitate communication between technical teams and business stakeholders.
Manage vendor and partner relationships where applicable.
Conduct steering committee meetings and project governance reviews. [multiplymii.com], [k21academy.com]
AI/ML Program Oversight
Oversee development, testing, deployment, and maintenance of AI/ML models.
Ensure adherence to AI governance, ethical AI practices, security, and compliance standards.
Track model performance, adoption metrics, and business outcomes.
Drive continuous improvement and optimization of AI solutions.
Support AI strategy and roadmap planning. [interviewguy.com], [k21academy.com]
Risk & Quality Management
Identify project risks, dependencies, and issues.
Develop mitigation plans and escalation procedures.
Ensure quality assurance and adherence to project management methodologies.
Manage change requests and project documentation. [interviewguy.com], [linkedin.com]

Technical Skills
AI/ML lifecycle management
Generative AI & Large Language Models (LLMs)
Data Science and Analytics
Cloud Platforms: Azure AI, AWS AI/ML, Google Cloud AI
Data Platforms: SQL, Databricks, Snowflake, Hadoop
Project Management Tools: Jira, Azure DevOps, MS Project, Confluence
Understanding of MLOps and AI deployment frameworks
AWS Certified Machine Learning
Google Qualified Machine Learning Engineer

Key Performance Indicators (KPIs)
Project delivery success rate
Budget adherence
Stakeholder satisfaction
AI model deployment success
Business value realization
Team productivity and project governance compliance

📌 Project Manager (AI) (Bengaluru)
🏢 Intellicore Consulting Group
📍 Bengaluru