AI Lead Machine Learning Operator

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.

Occidental 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 leader to fill the position ofAI Lead Machine Learning Operator within ourApplied AI Center of Excellence group based in Houston, TX. The incumbent will scale, monitor, maintain, update, and re-train machine learning and artificial intelligence systems and models.

Essential Job Responsibilities

• Monitor all deployed machine learning and artificial intelligence models and systems.
• Update, re-train, and improve ML and AI models and systems if and when necessary in collaboration with IT specialists and data scientists.
• Coordinate with users to solicit performance feedback and feature requests.
• Maintenance of a roadmap for new features.
• Build and lead a team of ML Operators to maintain Oxy's growing portfolio of models and applications.

Qualifications:

• Master's degree in computer science, mathematics, physics, engineering or related field required.
• PhD degree is highly preferred
• A minimum of 10 years of experience and deep knowledge in machine learning, artificial intelligence, and/or scientific computing required.
• Strong Python programming skills required
• Knowledge of Linux environment required
• Experience developing, architecting, and running ML or deep learning workload in the Cloud.
• Experience with Docker for containerization and Kubernetes for orchestration
• Understanding of data engineering principles and databases (relational, NoSQL)
• Proven ability to interact with users to determine their needs and translate them into technical requirements.
• Experience in managing a small team and being a team player in a cross-functional group.

Additional Desired Qualifications:

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

• Ideally AWS certified in Machine Learning Specialty

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.