Qualifications
To thrive in this role, candidates should possess strong skills in software development and machine learning operations. A proven track record of delivering scalable and reliable AI solutions is essential. Familiarity with cloud platforms, data pipelines, and system architecture will be crucial. Effective communication skills and the ability to work collaboratively in a team environment are also required.
About the job
At IMO Health, we leverage our strengths in software engineering, artificial intelligence, and clinical knowledge to develop innovative AI-powered solutions. Our mission is to improve access to reliable healthcare information, enhance clinical decision-making, and ultimately elevate patient outcomes.
We are currently on the lookout for a Staff AI / MLOps Engineer to become an integral part of our Software Engineering team. In this pivotal role, you will take charge of the complete machine learning lifecycle for our production AI systems. Your responsibilities will include the design, construction, deployment, maintenance, and evolution of scalable, reliable, observable, and maintainable AI-driven systems in real-world clinical settings.
This technical leadership position emphasizes operational excellence and architectural integrity. The ideal candidate is a hands-on engineer, possessing extensive experience in software engineering, MLOps, DevOps, cloud infrastructure, and data systems. You should be adept at managing ML systems from initial concept through long-term operational phases, including monitoring, retraining, and decommissioning. Collaboration with data scientists, product teams, and platform engineers will be essential to ensure the seamless transition of AI models from research to robust, production-ready systems.