Why this role stands out
This on-site AI Technical Project Manager role offers a fantastic opportunity to lead impactful AI/ML programs from conception to deployment within a reputable company. You'll thrive here if you have a strong background in AI/ML, Generative AI/LLMs, and project management, coupled with a passion for driving innovation and collaborating with diverse teams. Embrace this chance to shape the future of AI and advance your career.
Quick overview
Job description
MUST HAVE:
Project Manager, GenAI/LLM, ML Programming, AI/ML, Data Science Experience
Job Description:
- About the Role; Lead end-to-end delivery of AI/ML programs, from ideation through deployment and post-production monitoring.
- Define program scope, goals, timelines, budgets, and success metrics. Coordinate cross-functional teams including data science, engineering, product, legal, security, and compliance.
- Develop and maintain detailed project plans, roadmaps, and risk registers.
- Track dependencies, milestones, and deliverables across multiple workstreams.
- Ensure AI solutions align with business objectives and technical architecture standards. Manage stakeholder communication and provide regular status updates to leadership.
- Identify and mitigate risks related to data quality, model performance, governance, and compliance.
- Drive adoption of responsible AI practices, including fairness, transparency, and explainability.
- Monitor production KPIs such as model accuracy, latency, drift, and ROI. Facilitate vendor management and coordination with external partners when needed.
- Support change management, user training, and rollout activities.
Required Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Data Science or a related field.
- 10+ years of program or project management experience.
- 3+ years managing AI, Machine Learning program (forecasting, NLP), Generative AI/LLM Program, or advanced analytics programs.
- Strong understanding of AI/ML lifecycle, including data preparation, model training, validation, deployment, and monitoring.
- Experience with Agile, Scrum, and Waterfall methodologies. Proficiency with project management tools such as Jira, Confluence, Microsoft Project, or Smartsheet.
- Strong communication, stakeholder management, and leadership skills.
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