Experience : 8 - 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.