At a Glance
- Tasks: Design and build production-grade GenAI applications using Python.
- Company: Puritas Group, a leader in enterprise AI transformation.
- Benefits: 12-month contract with opportunities for high-impact projects.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in delivering GenAI applications and knowledge of LangChain and LangSmith.
The predicted salary is between 60000 - 80000 € per year.
Puritas Group is seeking a Machine Learning Engineer for a 12-month contract in Greater London. The role involves designing, building, and monitoring production-grade GenAI applications using Python.
Ideal candidates will have experience delivering GenAI applications into production and familiarity with frameworks like LangChain and LangSmith.
The position offers a chance to work on high-impact projects within an enterprise AI transformation program.
Production-Grade GenAI ML Engineer in London employer: Puritas Group
Puritas Group is an excellent employer, offering a dynamic work environment in Greater London where innovation thrives. Employees benefit from a collaborative culture that prioritises professional growth and development, alongside the opportunity to contribute to high-impact projects in the exciting field of GenAI. With a focus on cutting-edge technology and a commitment to employee well-being, Puritas Group stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Production-Grade GenAI ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects, especially those using Python and frameworks like LangChain and LangSmith. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and production-grade application challenges. Practice explaining your past projects and how you tackled any obstacles – confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Production-Grade GenAI ML Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GenAI applications and relevant frameworks like LangChain and LangSmith. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love getting to know our candidates!
Showcase Your Projects:If you've worked on any production-grade GenAI projects, make sure to mention them! We’re interested in seeing real examples of your work, so include links or descriptions that demonstrate your expertise and impact.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Puritas Group
✨Know Your GenAI Inside Out
Make sure you’re well-versed in GenAI applications and can discuss your previous experiences with them. Be ready to share specific examples of projects where you’ve designed, built, or monitored production-grade applications using Python.
✨Familiarise Yourself with Key Frameworks
Since the role mentions frameworks like LangChain and LangSmith, it’s crucial to brush up on these. Understand their functionalities and be prepared to explain how you’ve used them in past projects or how you would approach using them in this new role.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding abilities. Practise coding challenges related to machine learning and GenAI, and be ready to demonstrate your thought process during the interview.
✨Show Enthusiasm for AI Transformation
This position is part of an enterprise AI transformation programme, so express your excitement about working on high-impact projects. Share your vision for how you see GenAI evolving and how you can contribute to the company’s goals.
