MLOps Engineer — Upstream AI for Production Systems

OXY, Inc.

Houston (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

OXY, Inc. is looking for a midcareer MLOps / AI Ops Engineer in Houston to support the deployment and lifecycle management of AI systems across the Oil & Gas sector. The role requires expertise in MLOps, cloud engineering with AWS, and collaboration with data scientists.

The ideal candidate will have 5+ years in data and software engineering, strong Python skills, and experience deploying ML models. OXY aims to retain talented employees by investing in their professional development and offering rewarding opportunities.

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, deploying and supporting ML models in production.
  • Familiarity with CI/CD tools, Docker, and Kubernetes.

Responsibilities

  • Design, build, and maintain MLOps pipelines and platforms for model training and deployment.
  • Operationalize ML models for upstream use cases.
  • Implement CI/CD, model versioning, and performance monitoring.
  • Collaborate with data scientists and engineers to move models to production.
  • Ensure reliability and governance of ML systems.
  • Troubleshoot production issues related to data, models, and infrastructure.

Skills

Data engineering
Software engineering
MLOps
AI Ops
Python
AWS
CI/CD
Docker
Kubernetes

Tools

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

Job description

OXY, Inc. is looking for a midcareer MLOps / AI Ops Engineer in Houston to support the deployment and lifecycle management of AI systems across the Oil & Gas sector. The role requires expertise in MLOps, cloud engineering with AWS, and collaboration with data scientists.

The ideal candidate will have 5+ years in data and software engineering, strong Python skills, and experience deploying ML models. OXY aims to retain talented employees by investing in their professional development and offering rewarding opportunities.

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