Project Manager- AI/ML at Remote, Bengaluru (Bangalore) Full Time

Position: Project Manager

Location: Bengaluru, India (Hybrid/Remote flexibility available)

Company: PGAGI Consultancy Pvt. Ltd

About PGAGI

At PGAGI, we are building the future where human and artificial intelligence coexist to solve complex problems, accelerate innovation, and power sustainable growth. We develop and deploy advanced AI solutions across industries, making AI not just a tool but a transformational force for businesses and society.

Position Summary

PGAGI is seeking a dynamic and experienced Project Manager to lead cross-functional engineering teams and drive the successful execution of multiple AI/ML-centric projects. The ideal candidate is a strategic thinker with a solid background in engineering-led product/project management, especially in AI/ML product lifecycles. This role is crucial to scaling our technical operations, ensuring seamless collaboration, timely delivery, and high-impact results across initiatives.

Key Responsibilities

• Lead Engineering Teams Across AI/ML Projects: Manage and mentor cross-functional teams of ML engineers, DevOps professionals, and software developers through agile delivery cycles, ensuring timely and high-quality execution of AI-focused initiatives.

• Drive Agile Project Execution: Define project scope, objectives, timelines, and deliverables using Agile/Scrum methodologies. Ensure continuous sprint planning, backlog grooming, and milestone tracking via tools like Jira or GitHub Projects.

• Manage Multiple Concurrent Projects: Oversee the full lifecycle of multiple high-priority projects—ranging from AI model development and infrastructure integration to client delivery and platform enhancements.

• Collaborate with Technical and Business Stakeholders: Act as the bridge between engineering, research, and client-facing teams, translating complex requirements into actionable tasks and product features.

• Maintain Engineering and Infrastructure Quality: Uphold rigorous engineering standards across deployments. Coordinate testing, model performance validation, version control, and CI/CD operations.

• Budget and Resource Allocation: Optimize resource distribution across teams, track project costs, and ensure effective use of cloud infrastructure and personnel to maximize project ROI.

• Risk Management & Mitigation: Identify risks proactively across technical and operational layers. Develop mitigation plans and troubleshoot issues that may impact timelines or performance.

• Monitor KPIs and Delivery Metrics: Establish and monitor performance indicators such as sprint velocity, deployment frequency, incident response times, and customer satisfaction for each release.

• Support Continuous Improvement: Foster a culture of feedback and iteration. Champion retrospectives and process reviews to continually refine development practices and workflows.

Qualifications:

• Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.

• Experience: Minimum 5 years of experience as a Project Manager, with at least 2 years managing AI/ML or software engineering teams.

• Tech Expertise: Familiarity with AI/ML lifecycles, cloud platforms (AWS, GCP, or Azure), and DevOps pipelines (Docker, Kubernetes, GitHub Actions, Jenkins).

• Tools: Strong experience with Jira, Confluence, and project tracking/reporting tools.

• Leadership: Proven success leading high-performing engineering teams in a fast-paced, innovative environment.

• Communication: Excellent written and verbal skills to interface with both technical and non-technical stakeholders.

• Certifications (Preferred): PMP, CSM, or certifications in AI/ML project management or cloud technologies.

Why Join PGAGI?

• Lead cutting-edge AI/ML product teams building scalable, impactful solutions.

• Be part of a fast-growing, innovation-driven startup environment.

• Enjoy a collaborative, intellectually stimulating workplace with growth opportunities.

• Competitive compensation and performance-based rewards.

• Access to learning resources, mentoring, and AI/DevOps communities.