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- Tasks: Design and optimise data infrastructure for AI solutions and create reliable data pipelines.
- Company: Global consultancy firm in Greater London with a focus on innovation.
- Benefits: Permanent position with healthcare, performance bonuses, and training budget.
- Why this job: Join a cutting-edge team and make an impact in the AI field.
- Qualifications: Expertise in data engineering, Pandas, PyTorch, and strong analytical skills.
- Other info: Exciting opportunities for growth in a dynamic work environment.
The predicted salary is between 42000 - 60000 £ per year.
A global consultancy firm in Greater London seeks an AI Data Expert to design and optimize data infrastructure for AI solutions. The role involves creating reliable data pipelines, preparing datasets for machine learning, and collaborating with AI engineers.
Candidates should have expertise in data engineering and tools like Pandas and PyTorch, along with strong analytical skills.
The company offers a permanent position with benefits including healthcare, a performance-based bonus, and a budget for training.
AI Data Engineer: Scale & Optimize ML Pipelines employer: Eliden
Contact Detail:
Eliden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer: Scale & Optimize ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with AI engineers on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and machine learning projects. 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. Be ready to discuss your experience with tools like Pandas and PyTorch, and think about how you can optimise ML pipelines in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Data Engineer: Scale & Optimize ML Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and tools like Pandas and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 optimising ML pipelines. Let us know what excites you about this opportunity!
Showcase Your Analytical Skills: Since strong analytical skills are key for this role, include examples of how you've used these skills in past projects. We love seeing real-world applications of your expertise, so don’t hold back!
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!
How to prepare for a job interview at Eliden
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Pandas and PyTorch. Brush up on your data engineering skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in designing and optimising data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical prowess.
✨Collaborate Like a Pro
Since the role involves working with AI engineers, think of examples where you’ve successfully collaborated with others. Be ready to discuss how you communicate complex ideas clearly and work as part of a team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects or their approach to data infrastructure. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
