Technical Project Manager

5 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About EMB Global

EMB Global is a leading managed marketplace and consultancy for digital transformation, specializing in deploying cutting-edge technology solutions—including AI, ML, and deep-tech projects—across diverse industries and regions. We partner with global organizations to solve their hardest technology challenges, driving results at scale through agile methodologies, technical rigor, and a consistently high bar for innovation and delivery.


Role Overview

Technical Project Manager


Key Responsibilities

  • End-to-End Project Management

    : Oversee full project lifecycles, from scoping and planning to execution, delivery, and support for AI/ML and other high-impact tech solutions.
  • Technical Leadership

    : Guide teams on complex software architectures, machine learning model integration, MLOps, and production-grade deployments.
  • Agile Execution

    : Implement and champion Agile, Scrum, and/or Kanban practices; manage iterative sprints, backlogs, and regular standups.
  • Stakeholder Collaboration

    : Serve as the primary point of contact for clients, engineering, product, and business teams. Translate business needs into technical requirements and ensure buy-in at all levels.
  • Risk & Quality Management

    : Proactively identify risks, dependencies, and blockers, especially those unique to data-driven and AI projects (e.g., data availability, model performance, ethical/AI compliance).
  • Budget & Resource Allocation

    : Manage budgets and resource plans, ensuring projects are delivered within agreed timelines and funding.
  • Reporting & Communication

    : Drive project transparency by publishing regular progress reports, KPIs, milestone updates, and change management documentation.


Required Skills & Experience

  • 5+ years of experience in technical project management, including multiple AI/ML or advanced technology projects with cross-functional teams.
  • Solid understanding of the AI/ML lifecycle: data pipelines, model training, evaluation, deployment, and monitoring.
  • Strong background in software engineering and distributed systems; direct exposure to cloud (GCP, AWS, Azure), APIs, and modern development workflows.
  • Expertise in Agile methodology; PMP, Scrum Master, or similar certification preferred.
  • Proven record of managing technical risks, stakeholder communications, and complex resource dependencies to drive on-time, in-scope delivery.
  • Excellent written and verbal communication skills; experience interfacing with both technical and non-technical executives and external clients.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.

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