ConnexR Solutions
Project Manager (Cloud Infrastructure AI)
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 8+ years
- Category
- Project management
- Posted
Skills
Nice to have
- PMP certification (preferred)
- Cloud certifications: AWS Solutions Architect, Azure Fundamentals, GCP Cloud Engineer
- Familiarity with AI/ML platforms (SageMaker, Azure ML, Vertex AI)
- Knowledge of data engineering pipelines, data lakes, big data technologies
- Experience in regulated industries (finance, healthcare, government)
- MBA or Master’s degree in relevant field
Full description
Project Manager (Cloud Infrastructure AI)
Experience Range: 8–10 years
Location: Bangalore (Hybrid)
Budget: INR 23 LPA
Employment Type: Full-time
Interview Mode: L2:F2F
Mandatory Skills
- 7–8+ years in Project Management with large-scale technology delivery
- Hands-on with Cloud Infrastructure projects (AWS, Azure, GCP) – migrations, hybrid setups, IaaS
- Proven delivery of AI/ML projects (MLOps pipelines, NLP, computer vision, generative AI)
- Strong knowledge of cloud-native architectures, microservices, containerization (Docker/Kubernetes), CI/CD pipelines
- Tools: Jira, Confluence, MS Project, Excel, PowerPoint
- Excellent stakeholder management across technical/non-technical audiences
- Experience managing cross-functional, geographically distributed teams
- Strong documentation, communication, and presentation skills
Preferred Qualifications
- PMP certification (preferred)
- Cloud certifications: AWS Solutions Architect, Azure Fundamentals, GCP Cloud Engineer
- Familiarity with AI/ML platforms (SageMaker, Azure ML, Vertex AI)
- Knowledge of data engineering pipelines, data lakes, big data technologies
- Experience in regulated industries (finance, healthcare, government)
- MBA or Master’s degree in relevant field
Key Responsibilities
- Lead end-to-end delivery of cloud infrastructure migrations & AI/ML implementations
- Define scope, objectives, timelines, resources
- Develop project plans, risk registers, status reports
- Manage budgets, forecasts, and ensure delivery within financial parameters
- Coordinate with engineering, data science, DevOps, and architecture teams
- Drive Agile/Scrum ceremonies and hybrid methodologies
- Ensure compliance with security, governance, and regulatory standards
- Manage vendor relationships and third-party integrations
- Communicate updates/escalations to senior leadership