JOIN THE TEAM!

Join our Process & Pipeline Services Software & Data Science team to lead the development and deployment of scalable, production-grade data science applications. You will bridge the gap between data science innovation and software engineering excellence, delivering intelligent systems that power the automated analysis of pipeline inspection data.

WORKING FOR YOU

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Education Assistance
• Generous Parental Leave
• Mental Health Resources
• Dependent Care
• Additional elected or voluntary benefits

About Us:
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.
Join Us:
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law

To be successful in this role you will:

• Have 5+ years of experience in data science, machine learning, or applied AI.
• Possess proven experience deploying ML models into production environments at scale.
• Possess strong programming skills in Python and C++ Java, with experience in software engineering practices.
• Be proficient in ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data pipeline tools.
• Have a multi-year track record in managing large datasets / with data-driven systems.
• Have familiarity with containerization and orchestration (e.g., Docker, Kubernetes).
• Possess hands-on experience with MLOps practices and tools for managing the ML lifecycle.
• Demonstrate excellent communication and collaboration skills in cross-functional tea

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiv