AI Engineer - Data Science and Generative AI

Digital Technology Experienced Professional - Data Science Job Description - Digital Technology Experienced Professional - Data Science Partner with the best Baker Hughes stands as a leading global energy-technology company, delivering innovative solutions that make energy safer, cleaner, and more efficient across the entire value chain. Operating in more than 120 countries, the company blends deep industrial expertise with advanced engineering and digital technologies to support energy production, transformation, and decarbonization. With over a century of heritage, Baker Hughes partners with customers in oil and gas, industrial sectors, and emerging energy markets to accelerate progress toward a more sustainable energy future Fuel your passion As an AI Engineer, you will contribute to the design, development, and deployment of production-grade AI applications, with a strong focus on Generative AI and Large Language Models (LLMs). You will work closely with experienced AI engineers, data engineers, and specialist product teams to prototype, test, and scale AI-driven capabilities that deliver measurable business value. This role sits at the intersection of software engineering, machine learning, and applied AI, and is ideal for an engineer who is excited about building reliable, responsible, and high-quality AI systems rather than standalone models. As a n AI Engineer , you will be responsible for : Assist in developing applications using LLMs and GenAI Tools Collaborate with our API Program to ensure quality Create, fine tune, and adapt pre-trained models Monitor outputs for quality, bias, security, and continued relevance Propose and document experiments, prompts, and system designs To be successful in this role you will: Hold a Bachelors degree in Computer Science , Computer Engineering, or a related discipline, or equivalent practical experience - p referably with a focus on Data and AI Be proficient in Python and SQL, with experience working in modern data and analytics environments Have a solid understanding of machine learning and natural language processing (NLP) concepts Demonstrate hands-on interest or experience with Generative AI and LLM-based Have working k nowledge of cloud platforms (AWS, Azure or GCP) Be comfortable collaborating across disciplines, including engineering, product, and architecture teams Show curiosity, structured problem solving skills, and a willingness to continuously learn in a fast moving field 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 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 productive. 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 Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we must 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 Additional elected or voluntary benefits The Baker Hughes internal title for this role is: Digital Technology Experienced Professional - Data Science Experience Level Mid Level .