ML Platform & Data Mapping Analyst (Contract)

Innova Solutions Inc; Columbus (OH); On-site; USD 55,000 - 83,000; Full time

Benefits offered by this job

Medical coverage

Dental & Vision

401(k)

HSA & FSA

Life Insurance

Pet Insurance

Disability - short/long term

Accident & Critical illness

Pre-paid legal

ID theft protection

Sick time

Paid leaves

EAP

Job summary

Innova Solutions is seeking a Project Manager - Advanced for Columbus, OH on a contract-to-hire basis. The role focuses on data mapping for ML models, platform-exit planning, ML acceptance criteria, end-to-end regression testing, and model monitoring.

You will coordinate with stakeholders to secure signoffs and refine the backlog with user stories and epics. The assignment is 6+ months, involving ML governance, cross-functional collaboration, and delivering robust ML solutions with a strong

Qualifications

• Experience defining criteria for ML model acceptance.
• Ability to map data and define testing plans for ML systems.
• Experience in backlog grooming with user stories and epics.

Responsibilities

• Data mapping for ML models.
• Review/define platform-exit plan for ML models.
• Define the acceptance criteria for ML models.
• Define regression testing plan (end-to-end) for ML models.
• Define model monitoring plan for ML models.
• Review results with stakeholders and gather signoff.
• Product backlog refinement, including writing user stories, epics, initiatives.

Skills

Data mapping for ML

ML platform exit plan

ML acceptance criteria

End-to-end regression testing

Model monitoring plan

Stakeholder signoff

Backlog refinement

Job description

Innova Solutions is seeking a Project Manager - Advanced for Columbus, OH on a contract-to-hire basis. The role focuses on data mapping for ML models, platform-exit planning, ML acceptance criteria, end-to-end regression testing, and model monitoring.

You will coordinate with stakeholders to secure signoffs and refine the backlog with user stories and epics. The assignment is 6+ months, involving ML governance, cross-functional collaboration, and delivering robust ML solutions with a strong