At a Glance
- Tasks: Design evaluation frameworks and enhance AI system performance in a dynamic environment.
- Company: Join DeepRec.ai, a forward-thinking company in the heart of London.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for leadership growth.
- Other info: Great chance to develop your career as the company scales.
- Why this job: Be at the forefront of AI innovation and make a real impact on production systems.
- Qualifications: 2-5 years of backend experience and a proactive ownership mentality.
The predicted salary is between 60000 - 80000 £ per year.
DeepRec.ai is looking for a Machine Learning Engineer specialized in LLM evaluations and agent systems in London. The role emphasizes production AI systems and engineering reliability, with responsibilities including designing evaluation frameworks and improving system performance.
Ideal candidates have 2-5 years of backend experience and an ownership mentality. The position offers hybrid working conditions and a chance to grow into a leadership role as the company scales.
Production ML Engineer — LLM Evals & Agent Systems employer: DeepRec.ai
DeepRec.ai is an exceptional employer that fosters a dynamic work culture in the heart of London, offering hybrid working conditions that promote work-life balance. With a strong emphasis on employee growth, this role provides opportunities to advance into leadership positions while working on cutting-edge AI technologies. Join a team that values innovation and ownership, making a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Engineer — LLM Evals & Agent Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at DeepRec.ai or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLM evaluations and agent systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML engineering questions and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly shows your enthusiasm for joining our team at DeepRec.ai.
We think you need these skills to ace Production ML Engineer — LLM Evals & Agent Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM evaluations and agent systems. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about production AI systems and how your ownership mentality can contribute to our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in backend engineering. We love candidates who can think critically and improve system performance, so share those success stories!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DeepRec.ai
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around LLM evaluations and agent systems. Be ready to discuss specific algorithms, frameworks, and your past experiences with production AI systems.
✨Showcase Your Ownership Mentality
Prepare examples that demonstrate your ownership mentality. Think of times when you took initiative in projects, solved problems independently, or improved system performance. This will resonate well with the company's values.
✨Familiarise Yourself with Evaluation Frameworks
Since the role involves designing evaluation frameworks, make sure you understand different evaluation metrics and methodologies. Be prepared to discuss how you would approach creating an effective framework for LLMs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, challenges they face in production AI systems, and their vision for scaling. This shows your genuine interest and helps you assess if the role is a good fit for you.
