6+ months contract
Westbrook, ME
What you need:
· Proven experience as a Product Owner or Product Manager for AI/ML or data science product delivery.
· Direct experience working with cross-functional teams of data scientists and ML engineers in a production ML environment.
· Ability to read and interpret model evaluation results, experiment logs, and ML pipeline outputs as an informed decision-maker — not necessarily as a practitioner.
· Demonstrated ability to write technically specific acceptance criteria for both DS model work and MLE productionization work.
· Experience distinguishing and sequencing research/experimentation work from engineering/production work in a backlog.
· Experience with the DS-to-MLE model productionization handoff: what constitutes a complete handoff, what risks arise from incomplete ones.
· Strong prioritization and trade-off decision-making skills in an environment of high technical uncertainty.
· Ability to work effectively across multiple tasks and teams while meeting aggressive timelines.
· Outstanding written and verbal communication skills; able to explain ML model trade-offs and delivery risks to non-technical stakeholders.
Education and Experience:
· Bachelor's degree or above in Computer Science, Data Science, Statistics, or related field; Master's degree preferred.
· 2–3 years of experience in roles as Product Owner, Product Manager, or technical delivery lead for AI/ML or data science products.
· Demonstrated track record of shipping ML models into production across the full lifecycle: from problem framing through monitoring.
TGIT01
Pay: $55.00 - $60.00 per hour
Work Location: Hybrid remote in Westbrook, ME 04098
