Oxy
oil and natural gas
AIMachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Machine Learning Engineer at Oxy. Skills: AI, Machine Learning, Python, Cloud. research, build, and design artificial intelligence systems to automate predictive models. design machine learning systems, models and schemes”
What You'll Achieve.
automate predictive models; optimize performance for computationally heavy workloads; deploy machine learning solutions to the cloud
Industry & Context.
critical thinking
What They're Looking For.
Must Have
Bachelor's degree in computer science, mathematics, physics, engineering or related field, 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, 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)
Nice to Have
Master's degree is highly preferred, AWS certification is highly preferred, with a 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
What You'll Do.
and design artificial intelligence systems to automate predictive models
design machine learning systems
design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization
reservoir engineering
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
How You'll Work.
Team & Collaboration
Work with Subject Matter Experts; Collaborate with Machine Learning Operation team
Communication Scope
communication skills
Full Job Description
Oxy [produces](https://url.uk.m.mimecastprotect.com/s/MsVsCxkWU14WzxDivh3Cy7O4c?domain=oxy.com/), [markets and transports](https://url.uk.m.mimecastprotect.com/s/dWO9CyPWUrzBpLKtQiZCx-Ef6?domain=oxy.com/) oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in [carbon management](https://www.oxy.com/operations/carbon-innovation/) 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](https://www.oxy.com/) 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
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