What are the responsibilities and job description for the AI/ML Project Manager position at Oricube?
Consultant MQs (Minimum / Mandatory Qualifications)
The proposed consultant must meet all MQs or they can be rejected during Phase 1.
MQ #1
10 years of Project Management experience
Must include:
- Managing complex projects
- Project budgets over $1M
- Experience with PM tools:
- Microsoft Project
- Jira
- Confluence (or similar)
- Experience with:
- Agile
- Waterfall methodologies
MQ #2
2 years of AI / ML and Data Analytics project management experience
Must demonstrate:
- Artificial Intelligence / Machine Learning project delivery
- Data analytics project experience
- Understanding of:
- AI/ML concepts
- Data pipelines
- Model lifecycle management
MQ #3
5 years leading cross-functional teams and managing multiple concurrent projects
Must show:
- Cross-functional leadership
- Multiple simultaneous projects
- Team coordination and stakeholder management
MQ #4
Bachelor’s Degree
Degree in:
- Computer Science
- Information Technology
- Data Science
- Related field
DQs (Desirable Qualifications)
These are scored and can help win Phase 2 technical evaluation points.
DQ #1
5 years reviewing or creating:
- AI technical documentation
- Cloud architecture diagrams
- API manuals
DQ #2
3 years of:
- Data governance
- Security standards
- Compliance standards
DQ #3
2 years managing cloud-based projects
Examples:
- Azure
- AWS
- AI services
DQ #4
Strong:
- Problem solving
- Decision making
- Collaboration skills
(pass/fail style qualification)
DQ #5
Ability and willingness to work:
Onsite 5 days/week in West Sacramento
Bonus certifications that could help:
- PMP
- Scrum Master
- Azure AI Engineer
- AWS AI/ML certifications
- SAFe
- Data governance/security certifications
Pay: $90.00 - $110.00 per hour
Work Location: In person
Salary : $90 - $110