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- Tasks: Build and operate large-scale data ingestion systems for AI models.
- Company: Leading AI research company in Greater London with a focus on innovation.
- Benefits: Top-tier compensation, health benefits, and personal growth opportunities.
- Why this job: Enhance AI model performance while working on cutting-edge technology.
- Qualifications: Expertise in web crawling, dataset management, and strong problem-solving skills.
- Other info: Collaborative environment with cross-functional teams and career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI research company in Greater London is seeking an engineer to build and operate large-scale data ingestion systems. This role focuses on improving data collection methods to enhance model performance, requiring expertise in web crawling and large dataset management.
Ideal candidates will have strong problem-solving skills and the ability to communicate effectively with cross-functional teams. The position offers top-tier compensation, health benefits, and opportunities for personal growth.
Data Ingestion Engineer for Scalable AI Pipelines employer: Reflection AI
Contact Detail:
Reflection AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Ingestion Engineer for Scalable AI Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data ingestion and web crawling. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your problem-solving skills and be ready to discuss how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team and making an impact in AI.
We think you need these skills to ace Data Ingestion Engineer for Scalable AI Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data ingestion systems and web crawling. 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 improving data collection methods and how you can contribute to our team. Keep it engaging and personal.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think outside the box and come up with innovative solutions!
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’re considered for this exciting opportunity!
How to prepare for a job interview at Reflection AI
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data ingestion systems and web crawling techniques. Be prepared to discuss specific methods you've used in the past to improve data collection and how they impacted model performance.
✨Showcase Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles related to large dataset management. Think about how you approached these problems and what solutions you implemented, as this will demonstrate your critical thinking abilities.
✨Communicate Like a Pro
Since the role involves working with cross-functional teams, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members effectively.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s current data ingestion processes or future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
