We are looking to hire candidates to work on challenging technology and engineering problems that span oil and gas exploration & production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it. The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.
What you will do
- Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.
- Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.
- Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.
- Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.
About You Skills and Qualifications
- Bachelors degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines with minimum 7.0 CGPA or equivalent.
- Minimum 3 years of experience in Data Science and Machine Learning or related computational domain.
- Competent to expert level programming experience in C/CPython.
- Strong foundation in application design.
- Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development.
- Experience with Source code version control (Git), Azure Cloud platform and containers, Databricks and MLflow.
- Continuous Integration and Continuous Deployment.
- Familiarity with statistical analysis, regression and classification.
Preferred Qualifications Experience
- Experience with time series analysis, computer vision, natural language processing.
- Knowledge or hands-on experience on Matlab & SQL.
- Strong written and verbal communication skills.
- Prior knowledge of commercial software development and/or experience in commercial software teams.
- Familiarity with Oil and Gas Industry.
Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep; our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you
- Competitive compensation
- Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
- Retirement benefits
- Global networking & cross-functional opportunities
- Annual vacations & holidays
- Day care assistance program
- Training and development program
- Tuition assistance program
- Workplace flexibility policy
- Relocation program
- Transportation facility