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- Tasks: Develop production-grade AI applications using Generative AI and Large Language Models.
- Company: Baker Hughes, a leader in innovative technology solutions.
- Benefits: Flexible working patterns for a great work-life balance.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Bachelor's degree in Computer Science, Python and SQL proficiency required.
The predicted salary is between 60000 - 80000 £ per year.
Baker Hughes is seeking an AI Engineer in Greater London, focused on developing production-grade AI applications utilizing Generative AI and Large Language Models. The role involves collaboration across teams to create scalable solutions and ensure AI systems' reliability.
A Bachelor's degree in Computer Science or related discipline, proficiency in Python and SQL, and a strong understanding of machine learning concepts are essential.
Flexible working patterns are offered to support work-life balance.
Gen AI Engineer — Production‑Grade LLMs employer: Baker Hughes
Contact Detail:
Baker Hughes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer — Production‑Grade LLMs
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those at Baker Hughes. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Generative AI and Large Language Models. This is your chance to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've tackled real-world problems using machine learning concepts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Gen AI Engineer — Production‑Grade LLMs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI and Large Language Models. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Gen AI Engineer role. Share your passion for AI and how your background aligns with our mission at StudySmarter. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working across teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing how you can work with others to create scalable solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Baker Hughes
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to Generative AI and Large Language Models. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, think of examples where you've successfully collaborated with others. Prepare to share how you’ve contributed to team projects, particularly in developing scalable AI solutions. This will highlight your ability to work well in a team environment.
✨Understand Machine Learning Concepts
Brush up on your machine learning knowledge, especially concepts relevant to production-grade applications. Be prepared to explain how you would ensure the reliability of AI systems. This shows that you’re not just technically skilled but also understand the broader implications of your work.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to AI and their current projects. This demonstrates your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding work-life balance and flexible working patterns.