Senior MLOps Engineer – AI/ML Ops for Upstream Oil & Gas

CEU Carbon Engineering ULC; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

CEU Carbon Engineering ULC is looking for a mid-career MLOps / AI Ops Engineer to enhance the deployment and management of machine learning solutions. This position emphasizes collaboration across data science, cloud engineering, and operations to maintain secure AI systems.

Applicants should possess over 5 years of experience, strong skills in Python, and hands-on knowledge of AWS services. The role involves designing MLOps pipelines and optimizing ML models in production.

Qualifications

• 5+ years of experience in data engineering, software engineering, MLOps, or AI Ops.
• Strong proficiency in Python for production-grade ML workflows.
• Hands-on experience with AWS services.

Responsibilities

• Design, build, and maintain MLOps pipelines and platforms using AWS.
• Operationalize ML models for production optimization and drilling analytics.
• Collaborate with data scientists and engineers to move models to production.

Skills

Data engineering

Software engineering

MLOps

AI Ops

Python

AWS

CI/CD

Docker

Kubernetes

Tools

AWS (e.g., S3, EC2, EKS/ECS, SageMaker, Lambda, CloudWatch)

Terraform

CloudFormation

Job description

CEU Carbon Engineering ULC is looking for a mid-career MLOps / AI Ops Engineer to enhance the deployment and management of machine learning solutions. This position emphasizes collaboration across data science, cloud engineering, and operations to maintain secure AI systems.

Applicants should possess over 5 years of experience, strong skills in Python, and hands-on knowledge of AWS services. The role involves designing MLOps pipelines and optimizing ML models in production.