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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 in London 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 in London
✨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 LLMs. This is your chance to demonstrate your Python and SQL prowess in action.
✨Tip Number 3
Prepare for the interview by brushing up on machine learning concepts. We all know that confidence is key, so practice common questions and scenarios you might face.
✨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 in London
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 with others. We love seeing examples of teamwork and how you contributed to creating 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, be prepared to share examples of how you've successfully collaborated in the past. Think about times when you contributed to a project with diverse stakeholders and how you ensured everyone was on the same page.
✨Understand Machine Learning Concepts
Brush up on your machine learning knowledge, particularly around production-grade applications. Be ready to explain key concepts and how they relate to the role. This could include discussing model training, evaluation metrics, or deployment strategies.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI and their expectations for the role. This shows your genuine interest in the position and helps you gauge if it's the right fit for you. Plus, it gives you a chance to demonstrate your knowledge about the industry.