Role overview
Mandatory onsite presence 3 days per week at our Woodland Hills, CA location.
What you'll work on
- Design, develop, and implement scalable AI/ML models for healthcare use cases.
- Lead end-to-end machine learning lifecycle including data preparation, feature engineering, model development, validation, deployment, and monitoring.
- Collaborate with product, clinical, data, and engineering teams to translate healthcare requirements into technical solutions.
- Ensure compliance with healthcare regulations and data privacy standards (HIPAA, PHI).
- Optimize model performance, scalability, and reliability in production environments.
- Guide best practices for ML architecture, tooling, and MLOps.
- Mentor and provide technical guidance to junior engineers.
- Communicate complex AI/ML concepts to technical and non-technical stakeholders.
Required Qualifications
- 15+ years of overall experience in AI, Machine Learning, Data Science, or Software Engineering.
- Strong healthcare domain experience (mandatory).
- Hands-on experience with ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn.
- Proficiency in Python and experience working with large datasets.
- Experience deploying ML models into production environments.
- Solid understanding of statistics, machine learning algorithms, and model evaluation.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Ability to work onsite 3 days per week in Woodland Hills, CA.
- Must be local to Los Angeles or within commutable distance (no relocation).
Job Types: Full-time, Contract
Pay: $70.00 - $75.00 per hour
Expected hours: 40 per week
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Work Location: Hybrid remote in Woodland Hills, CA 91303
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Contract Remote Ai Engineer Machine Learning Data Science Mlops Ai