Description

Occidental is an International Energy Company with operations in the United States, Middle East, Latin America and Africa. We are the largest onshore oil producer in the U.S., including in the Permian Basin, and a leading offshore producer in the 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 dioxide management to advance a lower-carbon world. Visit Oxy.com for more information.

We are looking for an experienced and motivated individual to fill the position of ML Ops Engineer within our Advanced Analytics Enablement group based in Houston, Texas. You will be responsible for designing and developing machine learning and deep learning systems, implementing appropriate ML algorithms, and conducting experiments. You will also collaborate with other engineers and data scientists to integrate your solutions into existing products and services. Stay up to date on latest trends and technologies in ML and AI.

To be successful in this role, you should have a strong background in computer science, mathematics, and statistics, as well as experience in working with various machine learning frameworks and tools. You should also have excellent communication and problem-solving skills, and a passion for artificial intelligence and its applications.

Qualifications:

Required Qualifications:

• A bachelor's degree or higher in computer science, engineering, mathematics, or a related field plus 3 years of industry experience.
• Advanced math and statistics skills in subjects such as linear algebra, calculus and Bayesian statistics.
• Proven experience as an AI/ML Engineer or a similar role
• Proficiency in Python, R and other programming languages
• Knowledge of data science, statistics, and machine learning concepts and frameworks
• Experience with machine learning libraries and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
• Experience with data processing and analysis tools such as Pandas, NumPy, etc.
• Experience with cloud platforms and services in AWS and Azure.
• Experience working across multiple departments and disciplines.
• Experience with version control and collaboration tools such as Git, GitHub, etc.
• Excellent communication, teamwork, and problem-solving skills

Desired Qualifications:

• A master's degree in machine learning, neural networks, deep learning or related fields.
• Experience in Oil and Gas
• Experience writing Terraform and YAML Pipelines
• Experience with Agile methodology

Relocation will not be provided.

Occidental Petroleum Corporation does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

Occidental Petroleum Corporation is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, marital status, political preference, sexual orientation, gender identity, national origin, protected veteran status, or disability status.