AI Machine Learning Engineer

Oxy is an international energy company with assets primarily in the United States, the Middle East and North Africa. We are one of the largest oil and gas producers in the U.S., including a leading producer in the Permian and DJ basins, and offshore Gulf of Mexico. Our midstream and marketing segment provides flow assurance and maximizes the value of our oil and gas. Our chemical subsidiary OxyChem manufactures the building blocks for life-enhancing products. Our Oxy Low Carbon Ventures subsidiary is advancing leading-edge technologies and business solutions that economically grow our business while reducing emissions. We are committed to using our global leadership in carbon management to advance a lower-carbon world. Visit oxy.com for more information.

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations 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

-Design the right machine learning model architecture and model type

• Design the right machine learning model architecture and model type for particular applications
• Tune the hyper-parameters of algorithms
• Perform training and validation of models
• Create workflows to optimize performance for computationally heavy workloads
• Work with data scientists to improve the data and model for optimal accuracy

Qualifications:

• Bachelor's degree in computer science, mathematics, physics, engineering or related field required
• Master's degree is highly preferred
• 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
• Strong Python or R programming skills required
• Knowledge of Linux environment required
• Strong knowledge of Microsoft products (Excel, Project, PowerPoint, Word, Power BI).
• 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)

Additional Desired Qualifications:

• Certified in Amazon Web services (AWS) cloud provider is highly preferred.

• Ideally AWS certified in Machine Learning Specialty

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.

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