AI Lead 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.

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 of AI Machine Learning Operations Engineer Manager within our AI Center of Excellence group based in Houston, TX.    The leader will manage of team of AI Machine Learning Operations Engineers. 

Essential Job Responsibilities

• Design the right machine learning model architecture and model type
• Lead and coach a team of AI Machine Learning Operations Engineers with a highly engaging leadership style that positively influences their performance, productivity, and development.
• Lead the design of 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 7 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

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

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.

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.

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.