Remote MLOps Engineer: Build Scalable ML Pipelines

OPENLANE; United States; Remote; USD 120,000 - 200,000; Full time

Benefits offered by this job

Medical benefits

401K plan with match

Paid vacation

Job summary

OPENLANE is seeking a seasoned MLOps Engineer to design, build, and operate automated ML pipelines from data ingestion to deployment and rollback. You will implement model CI/CD, monitor performance, drift, and latency, and ensure reproducibility across environments.

You will collaborate with Data Scientists, Data Engineers, and SREs to scale ML in production, leveraging Python, cloud platforms, and container orchestration. This remote role offers US-based opportunities.

Qualifications

• 3+ years of experience in MLOps, ML engineering, or related fields.
• Bachelor’s degree or equivalent practical experience.
• Strong Python skills and hands-on experience with AWS or major cloud platforms.
• Experience with workflow orchestration (Airflow/Kubeflow/Step Functions), IaC (Terraform), and CI/CD.
• Experience with containers and Kubernetes (Docker/EKS).

Responsibilities

• Design, build, and operate automated ML pipelines: data ingestion, training, validation, deployment, rollback.

Skills

System architecture

Distributed systems

Cloud-native design

Networking

Agile methods

ML pipelines

CI/CD for ML

Infrastructure as code

Containerization

Kubernetes

Python

Monitoring

Model lifecycle

Education

Bachelor's degree preferred

Tools

Airflow

Kubeflow

Step Functions

Terraform

Docker

Kubernetes

TorchServe

TF Serving

EKS

Prometheus

Grafana

Job description

OPENLANE is seeking a seasoned MLOps Engineer to design, build, and operate automated ML pipelines from data ingestion to deployment and rollback. You will implement model CI/CD, monitor performance, drift, and latency, and ensure reproducibility across environments.

You will collaborate with Data Scientists, Data Engineers, and SREs to scale ML in production, leveraging Python, cloud platforms, and container orchestration. This remote role offers US-based opportunities.