Project Manager (Cloud Infrastructure AI)

Experience : 8 to 10 Years

Education Qualification

• PMP preferred • AWS Solutions Architect, Azure Fundamentals, or GCP Cloud Engineer certification • Experience with AI/ML platforms such as Amazon SageMaker, Azure ML, or Google Vertex AI • Familiarity with data engineering pipelines, data lakes, and big data technologies • Experience in regulated industries (finance, healthcare, or government) • MBA or Master's degree in a relevant field

Roles & Responsibilities

Required Qualifications

• 7–8+ years of experience in project management, with a proven track record of delivering large-scale technology projects
• Hands-on experience managing Cloud Infrastructure projects (AWS, Azure, or GCP) including migrations, hybrid cloud setups, and infrastructure-as-Service initiatives
• Demonstrated experience delivering AI/ML projects such as model development, MLOps pipelines, NLP solutions, computer vision, or generative AI implementations
• Strong understanding of cloud-native architectures, microservices, containerization (Docker/Kubernetes), and CI/CD pipelines
• Proficiency in project management tools (Jira, Confluence, MS Project, or equivalent)
• Proficiency in Microsoft Excel and PowerPoint.
• Excellent stakeholder management and communication skills across technical and non-technical audiences
• Experience managing cross-functional, geographically distributed teams
• Strong documentation skills
• Excellent communication and presentation skills.

Preferred Qualifications

• PMP preferred
• AWS Solutions Architect, Azure Fundamentals, or GCP Cloud Engineer certification
• Experience with AI/ML platforms such as Amazon SageMaker, Azure ML, or Google Vertex AI
• Familiarity with data engineering pipelines, data lakes, and big data technologies
• Experience in regulated industries (finance, healthcare, or government)
• MBA or Master's degree in a relevant field