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What you'll do:
- Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
- Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.
- Lead system design and architecture discussions, providing guidance on ML systems, MLOps, and AI infrastructure.
What you'll need:
- 8+ years of professional experience in software engineering, AI/ML engineering, or related roles, building and operating production-grade systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
- Expert-level coding skills in Python or Java, with a strong emphasis on production-quality software engineering practices.
IMO Health
IMO Health combines software development, artificial intelligence, and clinical expertise to create AI-driven solutions. They enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.