Hybrid Senior ML Ops Engineer

Posted 3 weeks ago

Apply now

About the role

  • Designs, builds, and maintains scalable ML infrastructure and pipelines for model training, deployment, and monitoring.
  • Optimizes orchestration processes to ensure efficient deployment and management of predictive models.
  • Optimizes resource usage to minimize infrastructure expense while maximizing performance.
  • 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.
  • Provides technical assistance and mentorship to all team members; troubleshoots complex issues and escalates issues as necessary.
  • Supports the company commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

  • Minimum 5 years’ experience in Data Science, ML Engineering or ML Ops capacity.
  • Strong programming skills in Python and experience with Data Science and ML packages and frameworks.
  • Experience with AWS services.
  • Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
  • Experience deploying models with MLOps tools such as MLflow, Kubeflow, or similar platforms.
  • Expert understanding of data management, distributed computing, and software architecture principles.
  • Proven experience delivering real-time models in production environments.
  • Background and drug screen.

Benefits

  • 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 – Unlimited 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.
  • And SO much more!

Job title

Senior ML Ops Engineer

Job type

Experience level

Senior

Salary

$115,000 - $145,000 per year

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job