ML Ops Infrastructure Engineer

Deepgram is a leading platform for voice AI, and as an ML Ops Infrastructure Engineer, you'll design and build pipelines for ML model development, deployment, and testing. You'll work with research engineers to ensure safe and reproducible deployments, and collaborate with teams to make the organization faster.

Requirements

• 4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems
• Strong proficiency in Python and experience building automation and tooling for ML workflows
• Deep experience with CI/CD systems and building pipelines for software and model delivery
• Hands-on experience with Docker and Kubernetes for containerized workload management
• Practical experience deploying and serving ML models in production environments
• Familiarity with model evaluation, validation, and quality assurance processes
• Understanding of monitoring and observability principles as applied to ML systems
• Strong problem-solving skills and a bias toward automation over manual processes

Benefits

• Holistic health
• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• Work/life blend
• Unlimited PTO
• Generous paid parental leave
• Flexible schedule
• 12 Paid US company holidays
• Quarterly personal productivity stipend
• One-time stipend for home office upgrades
• 401(k) plan with company match
• Tax Savings Programs
• Continuous learning
• Learning / Education stipend
• Participation in talks and conferences
• Employee Resource Groups
• AI enablement workshops / sessions