AI/ML Engineer

Baker Hughes is a global energy technology company serving customers in more than 120 countries. We design, manufacture, and deliver industry-leading solutions that support energy extraction, production, and processing. Our commitment to innovation and operational excellence drives safer, cleaner, and more efficient energy solutions worldwide.

The Data, Analytics & AI team develops innovative data-driven products and AI solutions that power the Cordant suite of digital products. The AI/ML Engineer will work across data engineering, analytics, machine learning, and Agentic AI technologies to create scalable solutions that enable predictive maintenance, operational optimization, intelligent search, and AI-powered assistants. This role combines advanced analytics, Generative AI, and modern software engineering practices to help deliver the next generation of industrial intelligence solutions.

As an AI/ML Engineer your role will be to help build scalable data and AI solutions that enable predictive analytics, equipment intelligence, operational optimization, intelligent search, and AI-powered assistants. This role combines traditional machine learning, data engineering, Generative AI, and emerging agentic AI technologies to accelerate business value for industrial customers.

• Develop AI, machine learning, and analytics solutions for the Cordant product suite.

• Design scalable data pipelines and AI workflows using structured and unstructured data.
• Develop Generative AI and Agentic AI applications, including copilots, assistants, and intelligent search.
• Implement RAG, agent orchestration, prompt engineering, and LLM evaluation frameworks.
• Deploy, monitor, and optimize AI/ML solutions using MLOps and LLMOps best practices.
• Collaborate with product teams, domain experts, and software engineers to deliver customer value.
• Ensure solutions are secure, scalable, governed, and aligned with software engineering standards.

• A Bachelor's degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math)
• 2+ years of experience developing AI, machine learning, analytics, or data-driven solutions.
• Hands-on experience with Generative AI, LLMs, RAG, vector databases, cloud platforms (Azure/AWS), and data engineering pipelines.
• Knowledge of MLOps, software engineering, best practices, APIs, microservices, and Agile development, with strong analytical and problem-solving skills.
• Proficiency in Python, SQL, and modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or LangGraph.

This role requires flexibility to support customer engagements across the globe. Travel expectations include commitment to travel 10%, or as required based on customer and business needs.

Our people are at the heart of what we do at Baker Hughes. We know we are stronger when our people are developed, engaged, and empowered to bring their authentic selves to work. We invest in wellbeing, capability development, and leadership growth across all levels.

Our innovations have transformed the energy industry for over a century. To continue progressing, we look for individuals who embrace change and contribute to building the future.

• Flexible working opportunities with travel expectations
• 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 support
• 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.