Related skills
java aws python kubernetes elasticsearch📋 Description
- Own the full ML lifecycle: ingestion, training, deployment, monitoring.
- Transition prototypes to production with CI/CD and observability.
- Lead ML system design and architecture discussions.
- Develop AI apps and inference services for performance and reliability.
- Integrate LLMs and NLP into IMO Health products for unstructured data.
- Implement monitoring, logging, and dashboards to ensure model quality and SLAs.
🎯 Requirements
- 8+ years in software/AI engineering building and operating production systems.
- Bachelor’s or Master’s in CS or Engineering (or equivalent).
- Strong CS fundamentals: data structures, algorithms, OS, networking.
- Expert in Python or Java with production-quality practices.
- Hands-on experience owning ML systems in production: deployment and monitoring.
- Experience designing CI/CD pipelines, automation, and observability for ML.
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