Designs, builds, and maintains scalable ML infrastructure and pipelines for model training, deployment, and monitoring.
Optimize orchestration processes to ensure efficient deployment and management of predictive models.
Monitors and maintains the performance, security, and scalability of the ML infrastructure.
Collaborates with data scientists and software engineers to streamline the ML lifecycle from development to production.
Develops and maintains tools for data analysis, experimentation, model versioning, and artifact management.
Supports data and model governance requirements as needed.
Creates robust monitoring systems to measure and trend model performance, detect model drift, and ensure optimal performance of models in production.
Develops automation scripts and tools to improve the efficiency and reliability of MLOps processes.
Optimizes ML workflows for efficiency, scalability, and reliability.
Provide technical assistance to all team members; troubleshoots moderately complex issues and escalates issues as necessary.
Supports the company commitment to risk management and protecting the integrity and confidentiality of systems and data.

Education and experience typically obtained through completion of a Bachelor's degree in Computer Science, Engineering, or a related field
Typically minimum 2 years’ experience or internship in Data Science, ML Engineering or ML Ops capacity.
Intermediate programming skills in Python and experience with Data Science and ML packages and frameworks.
Demonstrated experience with AWS services.
Intermediate proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices
Demonstrated experience with MLOps tools such as MLflow, Kubeflow, or similar platforms.
Understanding and application of data management, distributed computing, and software architecture principles.
Proven experience delivering real-time models in production environments.
Background and drug screen.

Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave
Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

ML Ops Engineer II

Key skills