Remote MLOps Architect for Autonomous ML Infrastructure

Parallel; United States; Remote; USD 150,000 - 240,000; Full time

Job summary

Parallel Systems is looking for an experienced MLOps/ML Infrastructure Engineer to lead the design and development of scalable systems for autonomous battery-electric rail vehicles. The role focuses on creating robust ML infrastructure that supports model training and deployment. Ideal candidates will have over 5 years of experience building reliable systems, an educational background in Computer Science, and proficiency with MLOps tools like MLflow and Kubernetes. This position offers a target salary range of $150,000 - $240,000 USD and can be remote.

Qualifications

• 5+ years of experience building large‑scale, reliable systems.
• 2+ years focused on ML infrastructure or MLOps.
• Proven experience architecting and deploying production‑grade ML pipelines.

Responsibilities

• Design and implement robust MLOps solutions.
• Collaborate with ML engineers to gather requirements.
• Build cloud‑based systems optimized for ML workloads.

Skills

MLOps solutions

Data management

Model training

Deployment and monitoring

Cloud platforms (AWS, GCP)

Python

Git

Education

Bachelor’s degree in Computer Science or related field

Tools

MLflow

Kubeflow

SageMaker

Airflow

Job description

Parallel Systems is looking for an experienced MLOps/ML Infrastructure Engineer to lead the design and development of scalable systems for autonomous battery-electric rail vehicles. The role focuses on creating robust ML infrastructure that supports model training and deployment. Ideal candidates will have over 5 years of experience building reliable systems, an educational background in Computer Science, and proficiency with MLOps tools like MLflow and Kubernetes. This position offers a target salary range of $150,000 - $240,000 USD and can be remote.