Remote MLOps Engineer: Build Scalable ML Pipelines

Openlane; Carmel, Northern (IN, KY); Híbrido; USD 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical benefits

401K matching

Paid time off

Resumo da oferta

OPENLANE is seeking an experienced MLOps Engineer to build and operate scalable ML pipelines from experimentation to production. You will own automated workflows, model deployment, monitoring, and safe updates while reducing toil through reusable platform components.

You will collaborate with data scientists, engineers, and SRE to ensure reliable, cost-efficient ML delivery across cloud environments. A strong Python background and cloud experience are essential.

Qualificações

• 3+ years in MLOps, ML engineering, or similar, with production ML pipelines.
• Bachelor’s degree or equivalent practical experience.
• Strong Python and cloud experience (AWS preferred).
• Experience with workflow orchestration, IaC, CI/CD, containers, and monitoring.

Responsabilidades

• Design, build, and operate automated ML pipelines for data ingestion, training, validation, deployment, and rollback.
• Implement model CI/CD with testing, canary, and safe rollout strategies.
• Monitor model performance, data drift, latency, and availability with actionable alerts.
• Ensure reproducibility of workloads via versioned code, data, features, and environments.

Conhecimentos

Python

Cloud platforms

CI/CD for ML

Observability

Automation

AI tooling evaluation

Formação académica

Bachelor’s degree

Ferramentas

Airflow

Kubeflow

Terraform

Docker

Kubernetes

TorchServe / TF Serving

Descrição da oferta de emprego

OPENLANE is seeking an experienced MLOps Engineer to build and operate scalable ML pipelines from experimentation to production. You will own automated workflows, model deployment, monitoring, and safe updates while reducing toil through reusable platform components.

You will collaborate with data scientists, engineers, and SRE to ensure reliable, cost-efficient ML delivery across cloud environments. A strong Python background and cloud experience are essential.