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- Tasks: Enhance AI evaluations and optimise large language models through detailed analysis.
- Company: Leading technology consultancy at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Master’s or PhD in Industrial Engineering with 5+ years of experience.
- Other info: Collaborative environment with a focus on innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology consultancy seeks an Industrial Engineering expert fluent in French and English to enhance large language models' evaluations.
Responsibilities include:
- Reviewing AI-generated content
- Assessing optimization methods
- Validating technical reasoning
The ideal candidate has a Master’s or PhD with 5+ years in Industrial Engineering, demonstrating strong analytical skills and attention to detail.
This hands-on role involves collaborating across teams to refine models and documentation.
Industrial Engineer - AI Evaluation & Optimization (FR/EN) employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Industrial Engineer - AI Evaluation & Optimization (FR/EN)
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI evaluation and optimisation. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills through a portfolio or case studies. We love seeing real examples of your work, especially in industrial engineering and AI. It’s a great way to stand out from the crowd!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a straightforward way to get your application noticed.
We think you need these skills to ace Industrial Engineer - AI Evaluation & Optimization (FR/EN)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Industrial Engineering and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI evaluation and optimisation. We love seeing candidates who can articulate their interest in the field and how they can contribute to our team.
Showcase Your Language Skills: Since this role requires fluency in both French and English, make sure to highlight your language skills prominently. If you have experience working in bilingual environments, let us know – it’s a big plus for us!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Braintrust
✨Brush Up on Your Technical Knowledge
Make sure you’re well-versed in the latest trends and techniques in Industrial Engineering, especially those related to AI evaluation and optimisation. Review key concepts and be ready to discuss how they apply to real-world scenarios.
✨Showcase Your Analytical Skills
Prepare examples from your past experience that highlight your analytical abilities. Be ready to explain how you approached complex problems and what methods you used to arrive at solutions, particularly in relation to AI-generated content.
✨Practice Your Bilingual Communication
Since the role requires fluency in both French and English, practice discussing technical topics in both languages. This will help you feel more comfortable switching between languages during the interview and demonstrate your proficiency.
✨Collaborative Mindset is Key
This role involves working across teams, so be prepared to discuss your experience in collaboration. Think of specific instances where you worked with others to refine models or documentation, and how you contributed to the team’s success.
