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.Requirements4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systemsStrong proficiency in Python and experience building automation and tooling for ML workflowsDeep experience with CI/CD systems and building pipelines for software and model deliveryHands-on experience with Docker and Kubernetes for containerized workload managementPractical experience deploying and serving ML models in production environmentsFamiliarity with model evaluation, validation, and quality assurance processesUnderstanding of monitoring and observability principles as applied to ML systemsStrong problem-solving skills and a bias toward automation over manual processesBenefitsHolistic healthMedical, dental, vision benefitsAnnual wellness stipendMental health supportLife, STD, LTD Income Insurance PlansWork/life blendUnlimited PTOGenerous paid parental leaveFlexible schedule12 Paid US company holidaysQuarterly personal productivity stipendOne-time stipend for home office upgrades401(k) plan with company matchTax Savings ProgramsContinuous learningLearning / Education stipendParticipation in talks and conferencesEmployee Resource GroupsAI enablement workshops / sessionsOriginally posted on Himalayas