Digital Technology Experienced Professional - Data Science
Baker Hughes · Bengaluru East, Karnataka, India
- On site
- Full-time
- $120,000 / year
- Bengaluru East, Karnataka, India
Job highlights
- Develop production-grade AI applications using Generative AI and LLMs.
- Collaborate with cross-functional teams on AI-driven solutions.
- Focus on building reliable, responsible, and high-quality AI systems.
- Utilize Python, SQL, and cloud platforms for development.
- Contribute to shaping the future of energy technology.
About the role
About Baker Hughes
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 - AI Engineer Role
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.Responsibilities:
- 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
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline, or equivalent practical experience - preferably with a focus on Data and AI
- Proficiency in Python and SQL, with experience working in modern data and analytics environments
- Solid understanding of machine learning and natural language processing (NLP) concepts
- Hands-on interest or experience with Generative AI and LLM-based
- Working knowledge of cloud platforms (AWS, Azure or GCP)
- Comfort collaborating across disciplines, including engineering, product, and architecture teams
- 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 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
Key skills/competency:
AI Engineering, Generative AI, Large Language Models (LLMs), Python, SQL, Machine Learning, Natural Language Processing (NLP), Cloud Platforms (AWS, Azure, GCP), Software Engineering, Applied AISkills & topics
- AI Engineer
- Generative AI
- Large Language Models
- LLMs
- Python
- SQL
- Machine Learning
- NLP
- Cloud Platforms
- Data Science
- AI
- Software Engineering
- Baker Hughes
- Energy Technology
How to get hired
- Tailor your resume: Highlight Python, SQL, Generative AI, LLMs, and cloud platform experience relevant to the AI Engineer role at Baker Hughes.
- Showcase your passion: Emphasize hands-on projects or experience with LLMs and GenAI tools in your application.
- Prepare for technical interviews: Brush up on machine learning, NLP concepts, and be ready to discuss your experience with cloud platforms like AWS, Azure, or GCP.
- Demonstrate cultural fit: Prepare to discuss your collaborative approach, problem-solving skills, and eagerness to learn within the energy technology sector.
- Network strategically: Connect with Baker Hughes employees on LinkedIn to gain insights into the team and culture.
Technical preparation
Practice Python coding challenges and SQL queries.,Build small projects using Generative AI or LLMs.,Familiarize yourself with AWS, Azure, or GCP services.,Review core machine learning and NLP concepts.
Behavioral questions
Describe a complex problem you solved.,How do you handle cross-functional collaboration?,How do you stay updated in a fast-paced field?,Share an experience where you learned something new.
Frequently asked questions
- What is the primary focus for an AI Engineer at Baker Hughes?
- The primary focus for an AI Engineer at Baker Hughes is the design, development, and deployment of production-grade AI applications, with a significant emphasis on Generative AI and Large Language Models (LLMs).
- What technical skills are essential for this AI Engineer position at Baker Hughes?
- Essential technical skills for this AI Engineer role include proficiency in Python and SQL, a solid understanding of machine learning and NLP concepts, and working knowledge of cloud platforms such as AWS, Azure, or GCP. Experience with Generative AI and LLMs is also crucial.
- What kind of projects can I expect to work on as an AI Engineer at Baker Hughes?
- As an AI Engineer at Baker Hughes, you can expect to work on projects involving the development of applications using LLMs and GenAI tools, creating and fine-tuning pre-trained models, and ensuring the quality, bias, and security of AI outputs.
- Does Baker Hughes offer flexible working arrangements for AI Engineers?
- Yes, Baker Hughes offers flexible working arrangements, including flexible working hours, allowing employees to adjust their schedules to be most productive. This is part of their commitment to supporting employee well-being and work-life balance.
- What is the educational requirement for the AI Engineer role at Baker Hughes?
- A Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline, or equivalent practical experience with a focus on Data and AI, is required for the AI Engineer position at Baker Hughes.
- How does Baker Hughes ensure quality and responsibility in its AI systems?
- Baker Hughes ensures quality, bias, security, and continued relevance by closely monitoring AI model outputs and collaborating with API programs. They aim to build reliable and responsible AI systems.
- What opportunities are there for professional development at Baker Hughes for an AI Engineer?
- Baker Hughes invests in the development of its people, offering training and opportunities for leadership development. For an AI Engineer, this means continuous learning in a fast-moving field and contributing to innovative energy technology solutions.
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