Senior AI / ML Engineer

Job Title: Senior AI / ML Engineer
Experience: 15+ Years
Location: Woodland Hills, CA
Work Model: Hybrid – 3 days mandatory onsite per week
Local Requirement: Must be local to Los Angeles / commutable distance
Visa – ##GC

Job Summary:

We are looking for a highly experienced AI / ML Engineer with strong healthcare domain expertise to design, build, and deploy advanced machine learning solutions. This role requires hands-on technical leadership and close collaboration with cross-functional teams, with mandatory onsite presence 3 days per week at our Woodland Hills, CA location.

Key Responsibilities:

• 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 Google Cloud Platform).
• Ability to work onsite 3 days per week in Woodland Hills, CA.
• Must be local to Los Angeles or within commutable distance (no relocation).

Preferred Qualifications

• Experience with MLOps, CI/CD pipelines, and model monitoring.
• Exposure to NLP, computer vision, or generative AI in healthcare.
• Master’s or PhD in Computer Science, AI, ML, Data Science, or related field.
• Experience working in regulated enterprise environments.