Senior Cloud MLOps Engineer - AWS Pipelines & Automation

Robotics Prcocess Automation, LLC; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Equal opportunity employer

Inclusive workplace environment

Job summary

Robotics Process Automation, LLC in Dallas, Texas is looking for an experienced MLOps engineer. The role involves designing and automating ML pipelines on AWS, collaborating with teams to operationalize models, and managing infrastructure effectively.

The ideal candidate has a minimum of 10 years total experience, with a proven track record in MLOps or related DevOps roles emphasizing strong Python and cloud expertise. Competitive compensation and benefits are included.

Qualifications

• 10+ years of overall experience with 4+ years in MLOps or related roles.
• Hands-on experience with AWS services like SageMaker, S3, ECS, and EKS.
• Strong coding proficiency in Python and experience with automation tools.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models.
• Collaborate with data scientists to deploy and optimize models.
• Manage cloud infrastructure on AWS for MLOps.

Skills

MLOps experience

Cloud expertise (AWS)

Python proficiency

Docker containerization

Automation tools (Terraform, GitHub Actions)

Communication skills

Tools

SageMaker

Terraform

MLflow

Docker

Airflow

Job description

Robotics Process Automation, LLC in Dallas, Texas is looking for an experienced MLOps engineer. The role involves designing and automating ML pipelines on AWS, collaborating with teams to operationalize models, and managing infrastructure effectively.

The ideal candidate has a minimum of 10 years total experience, with a proven track record in MLOps or related DevOps roles emphasizing strong Python and cloud expertise. Competitive compensation and benefits are included.