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- Tasks: Design and implement advanced machine learning models using the latest AI frameworks.
- Company: Cutting-edge AI startup with a focus on innovation and autonomy.
- Benefits: Remote work, flexible hours, and opportunities for professional growth.
- Why this job: Join a fast-paced team and shape the future of AI technology.
- Qualifications: Experience in building production-grade ML models and proficiency in Python.
- Other info: Dynamic environment with significant influence on product development.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge AI startup is seeking an AI Engineer to design and implement sophisticated machine learning models. This remote position allows for a high degree of autonomy in experimenting with the latest AI frameworks.
Ideal candidates will have proven experience in building production-grade ML models and proficiency in Python along with familiarity with tools like PyTorch and TensorFlow. The role significantly influences the product roadmap within a fast-paced environment.
Remote AI Engineer — Production ML & Systems employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer — Production ML & Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community on LinkedIn or Twitter. Join relevant groups and engage in discussions; you never know who might have a lead on that perfect remote AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and ML concepts, and be ready to discuss your experience with frameworks like PyTorch and TensorFlow. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Remote AI Engineer — Production ML & Systems
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with building production-grade ML models. We want to see your proficiency in Python and any cool projects you've done using PyTorch or TensorFlow. This is your chance to shine!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI Engineer role. We love seeing how your unique experiences align with what we’re looking for.
Be Authentic: Let your personality come through in your application. We’re a cutting-edge startup, and we value creativity and innovation. Share your passion for AI and how you’ve experimented with different frameworks in your previous roles.
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. We can’t wait to hear from you!
How to prepare for a job interview at Jack & Jill
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with building production-grade machine learning models in detail. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had on previous projects.
✨Show Off Your Python Skills
Brush up on your Python knowledge, especially in relation to AI frameworks like PyTorch and TensorFlow. Prepare to demonstrate your coding skills, perhaps through a live coding exercise or by discussing past projects where you used these tools.
✨Understand the Company’s Product Roadmap
Research the startup's current products and future goals. Think about how your role as an AI Engineer can influence their roadmap and be prepared to share your ideas on how to enhance their offerings with innovative ML solutions.
✨Embrace the Remote Work Culture
Since this is a remote position, be ready to discuss how you manage your time and stay productive while working independently. Share examples of how you've successfully collaborated with teams remotely in the past.
