ML Engineer

• 00030124

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.

• 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.
  
  

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.
• 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 must

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.
• Prior experience with seismic application is a plus

Relocation: Will not be offered at this time

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.