7 Technical Pm Jobs

We are hiring an experienced AI Technical Project Manager for a 12-month full-time onsite role in Chennai or Hyderabad. The ideal candidate has 1012 years of experience, starting as a Machine Learning Engineer and growing into a leadership role overseeing AI/ML project delivery across diverse domains. You will manage end-to-end project execution using Agile methodologies, collaborate with cross-functional teams, ensure timely delivery, and maintain alignment with strategic AI goals. Strong technical fluency in AI/ML is required, along with the ability to manage ambiguity and drive measurable results in high-performing teams.

As a Project Manager with 6+ years of experience, Agile Project Management, PMP certification, and expertise in Stakeholder and Client Management, your role will involve the following key responsibilities: - Develop comprehensive project plans to ensure timely delivery and maintain high quality standards. - Lead diverse project teams comprising technical developers, business analysts, quality assurance professionals, and other stakeholders. - Act as the primary point of contact for clients, ensuring regular communication about project updates and milestones. - Manage stakeholder expectations effectively by addressing concerns and resolving conflicts promptly. - Provide technical guidance to ...

Key Responsibilities: Project Planning & Execution: Coordinate project management activities, resources, equipment, and information. Break projects into actionable tasks and define timeframes. Client Liaison: Communicate with clients to identify and define project requirements, scope, and objectives. Ensure client needs are met throughout the project lifecycle. Team Coordination: Assign tasks to internal teams, assist with schedule management, and help remove blockers in collaboration with the Project Manager. Budget & Procurement Management: Assist in preparing budgets, oversee procurement processes, and monitor project expenditures. Risk & Opportunity Analysis: Identify project risks and o...

Key Responsibilities: Project Planning & Execution: Coordinate project management activities, resources, equipment, and information. Break projects into actionable tasks and define timeframes. Client Liaison: Communicate with clients to identify and define project requirements, scope, and objectives. Ensure client needs are met throughout the project lifecycle. Team Coordination: Assign tasks to internal teams, assist with schedule management, and help remove blockers in collaboration with the Project Manager. Budget & Procurement Management: Assist in preparing budgets, oversee procurement processes, and monitor project expenditures. Risk & Opportunity Analysis: Identify project risks and o...

Able to lead & manage technical projects from initiation to completion, ensuring adherence to timeline, budgets & quality standards. Exp in solution designing, preparation of technical documents & site acceptance of projects.

We are hiring an experienced AI Technical Project Manager for a 12-month full-time onsite role in Chennai or Hyderabad The ideal candidate has 10- 12 years of experience, starting as a Machine Learning Engineer and growing into a leadership role overseeing AI/ML project delivery across diverse domains You will manage end-to-end project execution using Agile methodologies, collaborate with cross-functional teams, ensure timely delivery, and maintain alignment with strategic AI goals Strong technical fluency in AI/ML is required, along with the ability to manage ambiguity and drive measurable results in high-performing teams

We are hiring an experienced AI Technical Project Manager for a 12-month full-time onsite role in Chennai or Hyderabad. The ideal candidate has 1012 years of experience, starting as a Machine Learning Engineer and growing into a leadership role overseeing AI/ML project delivery across diverse domains. You will manage end-to-end project execution using Agile methodologies, collaborate with cross-functional teams, ensure timely delivery, and maintain alignment with strategic AI goals. Strong technical fluency in AI/ML is required, along with the ability to manage ambiguity and drive measurable results in high-performing teams.