Related skills
azure java docker aws python📋 Description
- Own the full ML lifecycle: ingestion, training, validation, deployment, monitoring.
- Transition prototypes to scalable prod systems with CI/CD, automation, observability.
- Lead ML system design and architecture discussions.
- Develop AI-driven apps and inference services for performance and scalability.
- Integrate LLMs, generative AI, and NLP into IMO Health products.
- Implement monitoring, alerting, logging, and dashboards for model quality and SLAs.
🎯 Requirements
- 8+ years of experience in software/AI engineering building prod-grade systems.
- Bachelor’s or Master’s in CS/Engineering or related field.
- Strong CS fundamentals: data structures, algorithms, OS, networking.
- Expert Python or Java coding with production-quality practices.
- Hands-on experience owning ML systems in production: deployment, monitoring, retraining.
- Experience designing CI/CD pipelines, automation, and observability for ML.
- Deep experience with AWS or Azure, containers, and IaC.
- Experience with MLOps tools: MLflow, SageMaker, Kubeflow.
🎁 Benefits
- Comprehensive benefits package.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!