AI Machine Learning Engineer

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy

Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX.  The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes. 

Essential Job Responsibilities

• Work with Subject Matter Experts to design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization, reservoir engineering, production, and facilities etc

• Tune algorithm hyper-parameters and perform model training and validation

• Create workflows to optimize performance for computationally heavy workloads

• Collaborate with Machine Learning Operation team to deploy machine learning solutions to the cloud

Qualifications

• Bachelor's degree in computer science, mathematics, physics, engineering or related field required

• Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.

• A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms

• Strong Python or R programming skills required

• Experience developing, architecting, and running ML or deep learning workload in the Cloud.

• 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

• Knowledge of YAML for automating model and application code deployment

• Understanding of data engineering principles and databases (relational, NoSQL)

• Strong critical thinking and communication skills

Additional Desired Qualifications:

• AWS certification is highly preferred, with a strong preference for the AWS Certified Machine Learning – Specialty credential.

• Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference.

• Hands‑on experience in geospatial data analytics using Esri products, with a focus on ArcGIS Enterprise.

• Experience with LLM-powered applications such as chatbots, question-answering systems, document processing and agentic workflow design.

Recruitment Fraud
 
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
 
Oxy does not charge a fee at any stage of the recruiting process. We will never:
 
•  Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
 
•  Use recruiting or placement agencies that charge candidates an advance fee of any kind or
 
•  Request personal information such as passport and bank account details at an early stage of our recruitment process.
 
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.