At a Glance
- Tasks: Build and maintain AI data pipelines while ensuring top-notch data quality.
- Company: Join Turnitin, a leader in AI technology with a remote-first culture.
- Benefits: Enjoy a competitive rewards package and flexible remote work options.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Make an impact in AI by designing scalable real-time data systems.
- Qualifications: 4+ years in AI/ML data infrastructure, strong Python and SQL skills.
The predicted salary is between 60000 - 80000 € per year.
Turnitin, LLC in the United Kingdom is seeking a Senior AI Data Engineer to focus on building and maintaining AI and data pipelines. Responsibilities include designing scalable real-time data systems and collaborating with cross-functional teams to ensure data quality.
Candidates should have at least 4 years of experience in AI/ML data infrastructure, strong skills in Python and SQL, and familiarity with cloud services.
The role offers a competitive rewards package and supports a remote-centric work culture.
Remote AI Data Engineer (Senior) Real-Time Pipelines & LLM employer: Turnitin, LLC
Turnitin, LLC is an exceptional employer that champions a remote-centric work culture, allowing for flexibility and work-life balance. With a competitive rewards package and a strong emphasis on employee growth opportunities, Turnitin fosters an environment where innovation thrives and collaboration is key. Joining our team means being part of a forward-thinking company dedicated to advancing AI and data solutions in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Data Engineer (Senior) Real-Time Pipelines & LLM
✨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, especially those involving real-time data systems or AI/ML. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with cloud services and how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Remote AI Data Engineer (Senior) Real-Time Pipelines & LLM
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML data infrastructure, especially with Python and SQL. 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 building real-time data systems and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills:Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you’ve made an impact in previous roles!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Turnitin, LLC
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built or maintained data pipelines, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you ensure data quality when working with different departments.
✨Familiarise Yourself with Cloud Services
As cloud services are a key part of the job, make sure you know the ins and outs of the platforms you've worked with. Be ready to discuss how you've used these services to enhance data infrastructure and any relevant tools or technologies you’ve implemented.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions to ask about their current projects, team dynamics, or future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
