Overview
Skills
Job Details
NO THIRD PARTY VENDORS
Location: San Diego, California
Employment Type: 1 year contract - on-site 5 days a week
Location: San Diego, CA 92101
POSITION OVERVIEW
We are looking for a Project Manager with strong experience in Agile methodologies to lead projects within our Artificial Intelligence (AI) team. This role requires a blend of technical understanding, organizational skills, and leadership to deliver AI-driven solutions that meet business objectives. The ideal candidate will be comfortable managing complex initiatives involving data science, machine learning, and software engineering teams.
Skills: Azure, DevOps, Jira, Agile Tools, AWS, Google Cloud Platform
RESPONSIBILITIES
Project Delivery
Plan, execute, and monitor AI-related projects from inception to deployment.
Ensure alignment with strategic goals and manage scope, timelines, and resources.
Agile Leadership
Facilitate Agile ceremonies: Sprint Planning, Daily Stand-ups, Reviews, and Retrospectives.
Promote Agile best practices across AI development teams.
Cross-Functional Collaboration
Work closely with data scientists, ML engineers, and software developers to ensure smooth execution.
Coordinate with product owners and stakeholders to prioritize features and deliverables.
Risk & Issue Management
Identify technical and operational risks early and develop mitigation strategies.
Remove impediments and foster a culture of continuous improvement.
Performance Tracking
Use Agile metrics (velocity, burndown charts) and project KPIs to measure success.
Report progress and insights to leadership and stakeholders.
REQUIREMENTS QUALIFICATIONS
Bachelor s degree in Computer Science, Information Technology, or related field.
3 years of project management experience with Agile practices.
Familiarity with AI/ML concepts, data pipelines, and model deployment processes.
Proficiency in Agile tools (e.g., Azure DevOps, Jira).
Strong communication and stakeholder management skills.
PREFERRED QUALIFICATIONS
Certified ScrumMaster (CSM) or PMI-ACP certification.
Experience managing projects involving machine learning models, NLP, or computer vision.
Understanding of cloud platforms (Azure, AWS, Google Cloud Platform) and ML Ops practices.