Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Union)
University of Southern Californiaover 1 year ago
Base Salary
$146k - $240k/yr
Responsibilities
- Design, build, and maintain production-grade machine learning models with real-time inference, scalability, and reliability.
- Develop scalable ML infrastructure and AI pipelines for data ingestion, preprocessing, search, and retrieval using cloud platforms.
- Deploy, monitor, and maintain machine learning solutions across production environments.
- Monitor data drift, concept drift, model performance, system health, and anomalies, and automate retraining when needed.
- Design and implement deployment pipelines and optimize CI/CD processes for machine learning model testing and deployment.
- Manage version control for models, parameters, results, and associated code.
- Lead engineering efforts for ML and GenAI model engineering, LLM advancements, and deployment framework optimization.
- Ensure AI and machine learning systems meet security, compliance, data protection, and privacy requirements.
- Maintain comprehensive MLOps process and configuration documentation and collaborate cross-functionally on deployment strategies and technical requirements.
Requirements
- Bachelor’s degree in computer science, engineering, or a closely related field.
- Proven experience with artificial intelligence and machine learning platforms such as AWS, Azure, or GCP.
- Experience with containerization technologies such as Docker or orchestration platforms such as Kubernetes.
- Experience with CI/CD tools such as GitHub Actions.
- Experience with Python, R, and SQL.
- Knowledge of MLOps engineering principles, agile methodologies, and DevOps lifecycle management.
- Experience with technical writing and documentation for AI/ML models and processes.
- Experience with healthcare data and machine learning use cases.
- Ability to troubleshoot and solve complex problems, with a deep understanding of coding, architecture, and deployment processes.
- Strong analytical, organizational, communication, collaboration, and attention-to-detail skills.
- Master’s degree in computer science, engineering, or a closely related field preferred.
- Fire Life Safety Training certification is required; candidates without the card must obtain it within 30 days of hire and renew it before expiration when required within Los Angeles City.
Benefits
- Full-time position with an exempt, non-union status and an 8-hour day schedule.
- Annual base salary range of $145,600.00 to $240,240.00.
- Fire Life Safety Training must be obtained within 30 days of hire if required and not held at hire.
- USC provides reasonable accommodations and is an equal opportunity employer.
Tech Stack
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