Advisor IT Systems - AI/ML Ops

4 months ago

Houston, TX, USASenior

Responsibilities

Design, build, and maintain MLOps pipelines and platforms for model training, deployment, monitoring, and retraining using AWS.
Deploy and support machine learning models for upstream Oil & Gas use cases such as production optimization, subsurface modeling, and drilling analytics.
Implement model versioning, experiment tracking, performance monitoring, and CI/CD workflows.
Collaborate with data scientists, data engineers, and domain experts to move models from development into production.
Ensure reliability, observability, governance, and compliance of machine learning systems.
Troubleshoot production issues involving data, models, and infrastructure.

Require 5+ years of experience in data engineering, software engineering, MLOps, or AI Ops.
Require a good grasp of software architecture principles and systems design.
Require strong proficiency in Python for production-grade machine learning workflows.
Require hands-on experience with AWS, including services such as S3, EC2, EKS/ECS, SageMaker, Lambda, and CloudWatch.
Require experience deploying and supporting machine learning models in production environments.
Require familiarity with CI/CD tools, Docker, and Kubernetes.
Require understanding of machine learning lifecycle management, model monitoring, and data drift.
Prefer experience supporting analytics or machine learning solutions in upstream Oil & Gas or energy.
Prefer knowledge of time-series, forecasting, or physics-informed machine learning workloads.
Prefer experience with infrastructure-as-code using Terraform or CloudFormation.

10,000+ employees