Our client, a top healthcare company, seeks a Machine Learning Operations & Data Scientist to build and maintain scalable machine learning pipelines, deploy predictive models into production, and ensure the reliability and performance of AI-driven solutions.
Requirements
- Proficiency in Python, SQL, and relevant ML libraries (e.g., TensorFlow, PyTorch).
- Expertise in software development methodologies, such as Agile, DevOps, and CI/CD.
- Familiarity with cloud platforms (e.g., GCP, AWS) and containerization technologies (Docker, Kubernetes).
- Proven experience implementing security controls and ensuring compliance in regulated environments.
- Preferred certifications in cloud platforms (e.g., AWS, Azure, GCP) and MLOps
Responsibilities
- Collaborate with data science teams to create a streamlined, automated pipeline for transitioning ML models from development to production.
- Design, develop, and maintain processes for model versioning, training, deployment, and continuous updates, implementing best practices for monitoring and drift detection.
- Design and build scalable, reproducible infrastructure for ML development and deployment using Infrastructure as Code (IaC) principles.
- Integrate ML pipelines into continuous integration and continuous deployment (CI/CD) workflows.
- Ensure reliable and efficient deployment of ML models and implement monitoring solutions to track model performance, data quality, and system health.
- Implement robust security controls, access management, and ensure compliance with healthcare industry standards (e.g., HIPAA) during model deployment.
- Lead, mentor, and foster the growth of a team of junior MLOps Engineers, providing technical guidance and cultivating a culture of continuous learning.
Other
- Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
- Minimum of 4 years of professional experience in MLOps, machine learning, and DevOps.
- 5+ years of hands-on experience in cloud engineering, infrastructure, or related roles.
- Excellent communication, stakeholder management, and team mentorship skills
- The client prefers that the candidate to be nearby the greater San Francisco area, but they will consider all profiles from the Pacific and Mountain time zones.
