At a Glance
- Tasks: Develop AI systems for supply chain intelligence using Python and language models.
- Company: Improbable, a leader in innovative technology solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Other info: Collaborative environment with opportunities to mentor and grow your skills.
- Why this job: Join a cutting-edge team and shape the future of AI in supply chains.
- Qualifications: 5+ years in production Python development and experience with large language models.
The predicted salary is between 60000 - 84000 € per year.
Improbable is seeking a skilled production engineer to develop AI systems focusing on supply chain intelligence. This role entails building robust Python applications, deploying language models, and enhancing backend integrations.
Ideal candidates will have over 5 years of experience in production Python development, strong engineering fundamentals, and practical experience with large language models. A collaborative approach and the ability to mentor juniors is essential.
Production AI Engineer: DSLM & LLM Systems in London employer: Improbable
Improbable is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and technology. With a strong emphasis on employee growth, we offer opportunities for mentorship and skill development, ensuring that our team members thrive in their careers. Located in a vibrant tech hub, we provide a dynamic environment where creativity and cutting-edge solutions flourish, making it an ideal place for talented engineers to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer: DSLM & LLM Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and supply chain systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python applications and any projects involving language models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your engineering fundamentals. Practice coding challenges and be ready to discuss your past experiences with large language models and backend integrations.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Improbable. It’s a great way to get noticed and show your enthusiasm for the role.
We think you need these skills to ace Production AI Engineer: DSLM & LLM Systems in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've built robust applications and tackled challenges in production environments. Don't hold back on the details!
Talk About Your AI Experience:Since we're focusing on AI systems, share your practical experience with large language models. We love to hear about projects you've worked on and how you've deployed these models in real-world scenarios.
Collaborative Spirit is Key:We value teamwork, so let us know about your collaborative experiences. Mention any mentoring roles you've taken on or how you've worked with others to achieve common goals. It’s all about building each other up!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Improbable
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in production environments. Be ready to discuss your past projects and how you've tackled challenges in building robust applications.
✨Showcase Your AI Knowledge
Familiarise yourself with large language models and supply chain intelligence. Prepare to explain how you've implemented these technologies in previous roles and the impact they had on your projects.
✨Demonstrate Collaboration Skills
Improbable values a collaborative approach, so be prepared to share examples of how you've worked effectively in teams. Highlight any mentoring experiences you've had with junior engineers to show your leadership potential.
✨Ask Insightful Questions
Prepare thoughtful questions about Improbable's current projects and future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
