At a Glance
- Tasks: Create robust AI systems and integrate machine learning models in a pioneering startup.
- Company: Innovative AI startup based in Greater London with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape innovative projects and mentor fellow engineers in a dynamic environment.
- Qualifications: 5+ years in Python development and experience with ML integration.
- Other info: Join a team that values creativity and collaboration in the AI space.
The predicted salary is between 48000 - 72000 Β£ per year.
A pioneering AI startup in Greater London seeks a Production Engineer to create robust AI systems, integrate machine learning models, and mentor engineers.
Responsibilities include:
- Designing full-stack solutions
- Deploying a domain-specific language model
- Ensuring high performance
Candidates should have:
- 5+ years in Python development
- ML integration experience
- An understanding of training workflows
This role offers the chance to shape innovative projects and contribute to a collaborative work culture.
Senior Production AI Engineer - DSLM & Backend Systems employer: Kallikor
Contact Detail:
Kallikor Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Production AI Engineer - DSLM & Backend Systems
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work at startups. A friendly chat can open doors and give you insights that might just land you an interview.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This is your chance to demonstrate your expertise and passion for AI systems.
β¨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML workflows. Practice common algorithms and be ready to discuss your past experiences in detail.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Production AI Engineer - DSLM & Backend Systems
Some tips for your application π«‘
Show Off Your Python Skills: Make sure to highlight your 5+ years of Python development experience in your application. We want to see how you've used Python in real-world projects, especially in relation to machine learning integration.
Demonstrate Your ML Integration Experience: When writing your application, be specific about your experience with integrating machine learning models. Share examples of projects where youβve successfully deployed these models and the impact they had.
Talk About Your Mentoring Experience: Since mentoring is part of the role, donβt forget to mention any experience you have in guiding or training other engineers. We love a collaborative spirit, so show us how youβve contributed to team growth!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity to shape innovative AI projects.
How to prepare for a job interview at Kallikor
β¨Know Your Tech Inside Out
Make sure youβre well-versed in Python and machine learning integration. Brush up on your knowledge of training workflows and be ready to discuss specific projects where you've implemented these technologies. This will show that youβre not just familiar with the concepts, but that you can apply them effectively.
β¨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially those related to deploying AI systems or integrating models. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you tackled issues and what the outcomes were.
β¨Demonstrate Your Mentorship Experience
Since mentoring is part of the role, think of examples where you've guided less experienced engineers. Be ready to share how you approached mentorship, the impact it had on your team, and any feedback you received. This will illustrate your leadership qualities and collaborative spirit.
β¨Align with Their Vision
Research the companyβs projects and values. Be prepared to discuss how your experience aligns with their goals, particularly in shaping innovative AI solutions. Showing that you understand their mission and are excited about contributing will set you apart from other candidates.