ExxonMobil Machine Learning Engineer (EMTEC) in Houston, Texas
Job Role Summary
The Data Science team of ExxonMobil Technology and Engineering Company has openings for full-time Machine Learning Engineers. The Data Science team has a mission of developing end-to-end data science solutions to a wide range of topics. Machine Learning Engineers will work closely with subject-matter-experts (SMEs), data engineers, and data scientists to develop, deploy, and maintain innovative solutions to address business needs. The positions will be located in Spring, Texas.
Job Role Responsibilities
Work in a global environment and interact with a team of architects, data engineers, data scientists and business line SMEs to develop, deploy, automate and maintain production-grade machine learning solutions.
Design Machine Learning deployment process and implement the most suitable toolset
Stay up to date in the field of ML Engineering and mentor others
Document and present solutions to business partners, stakeholders, peers, etc
Bachelor or graduate degree in Computer Science, Engineering, or a related scientific discipline
Familiar with machine learning training processes and state-of-the-art algorithms, libraries, and frameworks such as TensorFlow, PyTorch, scikit-learn
Knowledge in Software Development Lifecycle: Fundamentals of Architecture, Automated Testing, Separation of Concerns, and Deployment
Proficiency in Python and SQL are required
Proficiency in MATLAB, and C++ are an advantage
Experience with containers for development and deployment is highly preferred
Expertise in cloud computing is highly preferred
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.