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- Tasks: Design and implement full-stack systems using Python and integrate machine learning into backend services.
- Company: Leading supply chain intelligence firm in the UK with a focus on innovation.
- Benefits: Collaborative environment, competitive salary, and opportunities for professional growth.
- Why this job: Join a team driving innovation in supply chain processes and work with cutting-edge AI technology.
- Qualifications: 5+ years in production systems, strong software engineering skills, and experience deploying AI solutions.
- Other info: Dynamic role with a focus on collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A leading supply chain intelligence firm in the UK is seeking a Production Engineer to design and implement full-stack systems using Python. This role involves integrating machine learning capabilities into backend services and building a robust infrastructure for AI models.
The ideal candidate will have 5+ years of experience in production systems, expertise in software engineering principles, and skills in deploying AI solutions. This position offers a collaborative environment focused on innovation in supply chain processes.
Senior Production AI Engineer - DSLM & Backend employer: Kallikor
Contact Detail:
Kallikor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Production AI Engineer - DSLM & Backend
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to production systems and machine learning, and don’t forget to highlight your collaborative spirit!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Tailor your application to reflect your passion for innovation in supply chain processes and how you can contribute to our team.
We think you need these skills to ace Senior Production AI Engineer - DSLM & Backend
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant production systems you've worked on. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with machine learning and backend services specifically, as this is key for us in finding the right fit.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great candidate for the Senior Production AI Engineer role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position!
How to prepare for a job interview at Kallikor
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the latest trends in machine learning. Be ready to discuss how you've integrated AI into backend services in your previous roles. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Experience
With 5+ years of experience required, be prepared to share specific examples of production systems you've worked on. Highlight your role in deploying AI solutions and any challenges you faced. This will demonstrate your expertise and problem-solving abilities.
✨Emphasise Collaboration
Since the role is in a collaborative environment, think of examples where you’ve worked well in a team. Discuss how you’ve contributed to innovative projects and how you handle feedback. This will show that you’re a team player who values collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to supply chain intelligence and their future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
