Machine Learning Operations (MLOps) Engineer

Location: Remote employee; role listed for the United States, US - IN - Carmel

Company

hirify.global operates a digital marketplace for wholesale used vehicles and provides data-driven tools that help customers buy and sell more effectively.

What you will do

• Design, build, and operate automated ML pipelines for data ingestion, training, validation, deployment, and rollback.
• Develop model CI/CD workflows with automated testing, canary releases, and rollback strategies.
• Implement monitoring and observability for model performance, data drift, inference latency, and service availability.
• Ensure reproducibility through versioned code, data, features, and execution environments.
• Automate operational work and create reusable ML platform components, documentation, tests, and runbooks.
• Translate data science and product needs into scalable ML delivery designs while partnering with infrastructure and engineering teams.

Requirements

• 3+ years of experience in MLOps, ML engineering, SRE, DevOps, or software engineering, including production ML pipelines.
• Strong Python skills and hands-on experience with a major cloud platform, preferably AWS.
• Experience with workflow orchestration, infrastructure as code, and CI/CD systems.
• Experience with containers and Kubernetes, with Docker and EKS preferred.
• Familiarity with model-serving frameworks and monitoring tools such as TorchServe, Triton, BentoML, SageMaker endpoints, Prometheus, Grafana, or Evidently AI.
• Production experience with system debugging, observability, incident response, and critical evaluation of AI-assisted development output.

Nice to have

• Experience with SageMaker, MLflow, Databricks, Vertex AI, feature stores, or model registries.
• Experience deploying and evaluating LLM or generative AI systems.
• Experience with GPU workload scheduling and inference cost optimization.
• Experience interviewing candidates, conducting technical debriefs, or mentoring junior engineers and interns.

Culture & Benefits

• Remote work with occasional team alignment meetings.
• Medical, dental, and vision benefits with US HSA contributions and FSA options.
• Immediately vested 401(k) with company match in the US.
• Paid vacation, personal, sick, maternity, and paternity leave, with additional disability and life insurance benefits in the US.
• Tuition reimbursement, employee assistance resources, and opportunities for knowledge sharing and career advancement.