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MLOps Engineer - Javen Technologies, Inc
MLOps Engineer
Senior MLOps Engineer building scalable ML pipelines for healthcare, leveraging Python, Docker, Kubernetes, and AWS while ensuring compliance with FHIR/HL7 standards.
About the role
Key Responsibilities
- Design, implement, and maintain end‑to‑end ML pipelines using Docker, Kubernetes, and CI/CD workflows.
- Integrate MLflow for experiment tracking, model registry, and deployment automation.
- Develop RESTful APIs and data ingestion services to support real‑time healthcare analytics.
- Collaborate with data scientists to convert prototypes into production‑ready models.
- Ensure compliance with HIPAA, FHIR, and HL7 standards across all data handling processes.
- Monitor model performance, troubleshoot issues, and iterate on model retraining strategies.
Requirements
- 5+ years of experience in MLOps or related roles.
- Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS preferred).
- Hands‑on experience with MLflow, Airflow/Prefect, and Spark.
- Strong understanding of healthcare data standards (FHIR/HL7) and HIPAA compliance.
- Excellent problem‑solving skills and ability to work independently in a remote environment.
Skills
machine learningpythonmlopsdockerkubernetesaws