Machine Learning / AI Engineer (Contract)

Responsibilities: Collaborate with data scientists and business stakeholders to define ML solutions and develop Proof of Concepts (PoCs). Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD). Build and maintain scalable data pipelines and monitor model performance. Ensure models comply with organizational AI policies, responsible AI practices, and audit requirements. Support data exploration, feature engineering, and occasional model building. Automate model retraining, testing, and monitoring to maintain long-term performance. Document ML workflows, governance checkpoints, and risk assessments. Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.
Requirements: Masters degree in AI, ML, or Data Science. 6+ years in data science/ML, with 3+ years in ML engineering. Experience across the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring. Strong Python...