Digital Technology Specialist - Data and Analytics
- Location
- US-TX-HOUSTON-17015 ALDINE WESTFIELD
- Work mode
- On-site
- Employment type
- Full-time
About the job
Do you want to build the next generation of AI solutions that transform industrial operations? Are you passionate about developing scalable machine learning, Generative AI, and Agentic AI technologies that deliver real business impact?
This Senior AI/ML Engineer role is part of the Data, Analytics & AI team, responsible for developing innovative data-driven products and artificial intelligence solutions that power the Cordant suite of digital products. You will design, develop, and deploy advanced AI, machine learning, and analytics solutions that improve asset reliability, operational performance, and customer experience across industrial environments.
Partner with the best As a Senior AI/ML Engineer , you will work at the intersection of industrial data, cloud technologies, advanced analytics, and artificial intelligence. You will collaborate with product managers, domain experts, software engineers, and data engineers to deliver production-ready solutions while providing technical leadership throughout the AI/ML development lifecycle.
As the Senior AI/ML Engineer , you will be responsible for:
- Designing and developing scalable AI/ML and advanced analytics solutions for the Cordant product portfolio.
- Building production-grade data pipelines, predictive models, and AI workflows using structured and unstructured datasets.
- Developing Generative AI and Agentic AI applications, including intelligent assistants, copilots, and enterprise search experiences.
- Architecting Retrieval-Augmented Generation (RAG) solutions, agent workflows, prompt engineering strategies, evaluation frameworks, and AI governance controls.
- Deploying, monitoring, and optimizing AI/ML solutions using MLOps, LLMOps, CI/CD pipelines, and observability best practices.
- Driving technical design decisions and partnering with cross-functional teams to solve complex customer and business challenges.
- Mentoring engineers while promoting reusable frameworks, engineering standards, and AI/ML best practices.
- Ensuring AI solutions are secure, scalable, reliable, explainable, and aligned with responsible AI principles.
Fuel your passion To be successful in this role you will:
- Have a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or another STEM-related discipline.
- Have 4–8 years of experience developing and deploying machine learning, analytics, artificial intelligence, or data-driven solutions.
- Have strong proficiency in Python, SQL, and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or LangGraph.
- Have hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, agentic AI architectures, and AI evaluation techniques.
- Have experience designing data pipelines and working with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
- Have strong knowledge of MLOps, LLMOps, CI/CD practices, APIs, microservices, container technologies, and modern software engineering principles.
- Have experience designing scalable AI/ML architectures and successfully taking solutions from prototype through enterprise production deployment.
- Have strong analytical, problem-solving, communication, and technical leadership skills within an Agile product development environment.
Desired Characteristics
- Have experience applying AI and machine learning technologies to industrial, reliability, asset performance, or operational use cases.
- Demonstrate a passion for innovation and emerging technologies within the AI and data analytics landscape.
- Be able to effectively influence stakeholders and collaborate across global, cross-functional teams.
- Possess strong communication skills with the ability to translate complex technical concepts into business value.
Work in a way that works for you 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 flexible working patterns and hybrid working arrangements that support both collaboration and work-life balance.
Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other.
Working for you What 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.
- Additional elected or voluntary benefits.
This position requires valid work authorization in the country of employment. The employer is unable to sponsor work authorization for this role at any time.
You will be eligible to participate in Company-sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k). You will have a choice of coverage options that best suit your needs. Coverage options and contribution amounts are related to your benefit elections, base salary level, and specific requirements of each of these plans.
This position is eligible for our comprehensive and competitive benefits package, which can be found here , and is further eligible for additional forms of compensation such as bonuses subject to the terms of the applicable benefit plans or policies.
The Baker Hughes internal title for this role is: Digital Technology Specialist - Data and Analytics
From Baker Hughes's careers page (Workday), checked 4 Nov 2026.
How to apply
- Select Apply on bakerhughesbenefits.com. It opens Baker Hughes's own application form in a new tab, run on Workday.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Baker Hughes will reply to you directly. No real employer asks you for money to apply.
Posted 3 Nov 2026 · checked 4 Nov 2026 · Report this job