ML Engineer

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Date posted: 2023-03-01T13:16:47.000000Z Page 1 of 3

Job Description

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Job Description – ML Engineer (00030124) Job Description ML Engineer-00030124 Description

Occidental Petroleum Corporation (NYSE: OXY) is an international oil and gas exploration and production company, and its OxyChem subsidiary is a major North American chemical manufacturer. We are one of the largest U.S. oil and gas companies, based on equity market capitalization, with more than 40,000 employees and contractors worldwide.

Our greatest asset has been and will continue to be our people. We are looking for an experienced and motivated individual to fill the position of (ML Ops Engineer) within our (Advanced Analytics and Modeling Team) based in (Houston, TX).

We are seeking an experienced ML Ops Engineer to join our Advanced Analytics and Modeling Team in Houston, Texas. In this role, you will be working on a crucial aspect of the energy industry, specifically in Seismic Imaging and Processing.

Seismic imaging and processing involves the use of advanced technologies to create high-resolution images of the subsurface of the earth, providing valuable insights into the composition, structure, and potential resources of the subsurface. You will work with a team of scientists and engineers to tackle some of the most challenging problems in this field, using cutting-edge techniques and methodologies to drive innovation and help our clients make informed decisions.

Occidental Petroleum Corporation View Job

United States-Texas-Houston

Not Provided

Job Title

ML Engineer

Salary

Not Provided

Job Type

Permanent

Phone Numbers

(713) 215-7000

Emails

Not Provided

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Date posted: 2023-03-01T13:16:47.000000Z Page 2 of 3

Contribute to the design, refinements, optimizations, and scalability of algorithm pipelines at scale

Develop and maintain CI/CD pipelines for mathematical algorithms and ML models and data

Collaborate with subject matter experts and engineers to understand their needs and help them with the end-to-end ML development lifecycle.

Enhance the MLOps culture and practices, enabling the team to create solutions with improved computational performance, scalability, and reliability

Optimize the performance of computational and ML models in production environments in enterprise structures.

Stay current with the latest advancements in high performance computing, ML, and AI, incorporating the learning into the organization’s systems

Communicate with stakeholders and leadership to provide updates on progress and identify areas for improvement

Play a key role in the design and implementation of large computational infrastructure and tools at scale to support the development lifecycle

Work closely with users to respond effectively to issues and resolve problems in a timely manner.

Strong experience in MLOps, including:

Well-versed in parallel and distributed computing on the Cloud with CPU and GPU

Great algorithmic knowledge and data structures

Distributing tasks and partitioning data

Deployment, scaling, and management of containerized applications using Kubernetes and Docker

Performance profiling

Monitoring and analyzing the performance of ML models in production.

Qualifications

Required Qualifications

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Computational Mathematics, and related fields.

Five years of deep industrial/academic experience with Foundation of Computer Science, Numerical Modeling, Machine Learning, Deep Learning, and Mathematical Optimization.

Strong knowledge of linear algebra and probability and statistics.

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Date posted: 2023-03-01T13:16:47.000000Z Page 3 of 3

Proficient in Python, Julia, and/or C/C++.

Excellent oral and written communication skills.

Strong time management skills.

Ability to work with minimal supervision.

Effective team player who takes an active role in team responsibilities.

Expertise and experience with AWS and/or Azure is a plus

Prior experience with seismic application is a plus

Desired Qualification

Must have legal authorization to work in the US on a full-time basis.

Fundamental and theoretical understanding of Bayesian Statistics, Signal Processing, Machine Learning, Deep Learning, Compressive Sensing, and Mathematical Optimization is a plus.

Prior experience in sparse modeling, compressive sensing, and high dimensional statistics is also a plus.

Relocation: Will not be offered at this time

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

Occidental 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.

Job – Engineering Primary Location – United States-Texas-Houston Organization – OPC Schedule – Full-time