SAIVA AI · 4 months ago
Senior MLOps Engineer (Production)
San Jose, CA
Full-time
Onsite
Senior Level
5+ years expSAIVA AI is seeking a Senior Machine Learning Engineer to join their team and help shape the future of healthcare technology. In this role, you will design, build, and deploy machine learning systems that power predictive analytics and intelligent decision support in healthcare.
Artificial Intelligence (AI)HealthcareHealth CareMachine Learning
Hiring Manager
Aleksander Sheynkman 🇺🇦
Responsibilities
Build reliable, scalable, and reproducible ML pipelines using Python, PySpark, SQL, and Airflow (AWS MWAA)
Deploy ML models into production to address complex healthcare challenges
Design and manage automated workflows with Docker, ECS/Kubernetes, and CI/CD pipelines
Collaborate with research teams to transform prototypes into production-ready products
Implement monitoring, logging, and retraining workflows; participate in the on-call process to support production ML pipelines
Leverage AWS services (S3, SageMaker, Lambda, Athena, etc.) to train, deploy, and serve models
Connect models with real-time and batch data sources via APIs and pipelines
Contribute to code quality, reviews, and system design discussions
Stay current with new tools, research, and best practices in ML, MLOps/LLMOps, and production-scale AI
Qualification
Required
5+ years of applied machine learning and data science experience, with strong MLOps expertise
Proficiency in Python (Pandas, PySpark, LightGBM, PyTorch, HuggingFace, etc.) and SQL
Experience with model development, feature engineering, evaluation, and deployment in real-world environments
Strong understanding of AWS infrastructure for ML (S3, SageMaker, ECS, Step Functions)
Experience with Docker and Kubernetes/ECS for packaging and deploying models
Familiarity with CI/CD for ML (e.g., CircleCI, MLflow, model versioning, testing, automation)
Willingness to participate in the on-call rotation for ML pipeline monitoring and support
Strong communication skills and ability to thrive in fast-paced, cross-functional teams
Preferred
Hands-on expertise with Airflow; additional experience with Prefect, Dagster, Kubeflow, or similar tools is a plus
Company
SAIVA AI
SAIVA AI reads your patients’ EHR for subtle clinical indications.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Shane Dearing
Chief Executive Officer
Gill Bejerano
Co-Founder, Chief Scientist
Recent News
2025-02-16
Company data provided by crunchbase