Oxy
AI ML Operations Engineer
Houston, Texas
No sponsorshipDetected 30 days ago
PythonRExpressAlgorithmsNoSQLDatabricksAWSDockerKubernetesTerraformAnsibleLinuxMachine LearningDeep LearningData EngineeringData ScienceData VisualizationLLMsMLOpsIncident ResponseExcelResearchLeadershipCommunication
About the role
- Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life.
- Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa.
Responsibilities
- Designs production-grade ML systems end-to-end (data → training → deployment → monitoring) with experience
- Owns production systems (debugging, incident response, reliability, SLAs, cost awareness)
- Builds reusable platform patterns that reduce duplication and enable teams to ship faster and more safely
- Works effectively across teams (data science, engineering, platform), can lead training, can influence adoption
Requirements
- If you believe you have been the victim of a recruiting scam, please contact your local police department.
- Bachelor's degree in computer science, mathematics, physics, engineering or related field required
- Strong Python or R programming skills required
- Knowledge of Linux environment required
- Strong knowledge of Microsoft products (Excel, Project, PowerPoint, Word, Power BI).
- Ability to express the intuition behind basic ML algorithms
- Experience performing basic hyper parameter optimization
- Ability to follow model training, deployment, and operational best practices
- Experience with Docker for containerization and Kubernetes for orchestration
- Knowledge of Terraform and Ansible for automating infrastructure management
- Ideally AWS certified in Machine Learning Specialty
Nice to have
- Certified in Amazon Web services (AWS) cloud provider is highly preferred.
- Master's degree is highly preferred.
Skills
- The company leverages its global leadership in carbon management to advance lower-carbon technologies and products.
Benefits
- Equivalent combination of advanced education and relevant experience will be considered.
- A minimum of 3 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
- Experience developing, architecting, and running ML or deep learning workload in the Cloud.
Visa & Work Authorization
- Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
This listing is sourced directly from Oxy's careers page and normalized into a canonical job model.