AI Technical Project Manager

10 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title :

AI Technical Project Manager

Experience :

10+ Years

Location :

Chennai / Hyderabad only

Industry :

Healthcare

Job Summary

We are seeking a highly experienced and technically proficient AI Technical Project Manager with 10+ years of experience to lead the successful delivery of complex AI/ML-driven solutions within the healthcare industry. The ideal candidate will have a foundational background as a Machine Learning Engineer and a proven track record of transitioning into a leadership role, managing the end-to-end lifecycle of AI projects. This position demands a unique blend of deep technical knowledge in AI/ML concepts and practical, hands-on program/project management experience in an Agile framework. A strong understanding and real-time experience with AI/ML and MLOps are essential for success in this role.

Key Responsibilities

Project Leadership and Execution :

Lead the planning, execution, and final delivery of multiple AI/ML projects simultaneously. Manage project scope, timelines, and resources to ensure successful outcomes.

Technical Acumen :

Serve as a bridge between technical teams (data scientists, ML engineers) and business stakeholders. Provide technical guidance and oversight throughout the project lifecycle, from ideation to deployment.

Agile Project Management :

Implement and manage projects using Agile methodologies (Scrum, Kanban). Facilitate sprint planning, daily stand-ups, retrospectives, and other key ceremonies.

MLOps and Production Deployment :

Oversee the operationalization of machine learning models. Ensure a robust MLOps pipeline for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of models.

Stakeholder Communication :

Clearly communicate project status, risks, and dependencies to all stakeholders, including senior management. Proactively identify and resolve technical and logistical roadblocks.

Team Collaboration :

Foster a collaborative and innovative team environment. Mentor junior team members and promote best practices in project management and AI development.

Risk Management :

Identify potential project risks and develop mitigation strategies to ensure project continuity and success.

Required Qualifications

Education :

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Experience

  • 10+ years of professional experience, with a significant portion dedicated to managing and delivering AI/ML projects.
  • Proven experience working as a Machine Learning Engineer or a similar technical role early in your career.
  • Demonstrated experience in the healthcare industry is mandatory.

Technical Skills

  • Strong theoretical and practical knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and data science principles.
  • In-depth, real-time experience with MLOps principles and tools (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
  • Proficiency in programming languages commonly used in ML, such as Python.

Project Management Skills

  • Extensive experience with Agile methodologies (e.g., Scrum, Kanban).
  • Proficiency with project management tools (e.g., Jira, Asana, Trello).
  • Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications

  • Project Management Professional (PMP) or Scrum Master (CSM) certification.
  • Experience with cloud platforms like AWS, Azure, or GCP, particularly their AI/ML and data services.
  • Familiarity with regulatory requirements in the healthcare sector (e.g., HIPAA, GDPR).
(ref:hirist.tech)

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