At a Glance
- Tasks: Develop intelligent observability systems for data reliability in AI and ML pipelines.
- Company: Join LiveRamp, a leader in data solutions with a focus on innovation.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for skill development.
- Other info: Work in a dynamic environment with great potential for career advancement.
- Why this job: Make a real impact by enhancing data reliability using cutting-edge AI technologies.
- Qualifications: Experience in software development, Python proficiency, and knowledge of AI/ML frameworks.
The predicted salary is between 60000 - 80000 £ per year.
LiveRamp UK Limited is seeking an AI Software Engineer for a six-month fixed-term contract. You will be pivotal in developing intelligent observability systems by combining backend engineering and applied AI to enhance data reliability across LiveRamp's data pipelines.
The ideal candidate will have experience in software development, a proficiency in Python, and knowledge of AI/ML frameworks such as PyTorch and TensorFlow.
This role requires two days of in-office attendance in Greater London.
AI Observability Engineer — Backend & ML Pipelines employer: C0050 LiveRamp UK Limited
LiveRamp UK Limited is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow their skills in cutting-edge AI technologies. With a focus on professional development and a commitment to data reliability, team members enjoy unique opportunities to contribute to impactful projects while working in the vibrant environment of Greater London, making it a rewarding place for those passionate about technology and data.
StudySmarter Expert Advice🤫
We think this is how you could land AI Observability Engineer — Backend & ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work at LiveRamp or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to GitHub, make sure to highlight them during interviews. We love seeing practical applications of your Python and AI/ML knowledge.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend engineering concepts and AI frameworks like PyTorch and TensorFlow. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are eager to make an impact in the AI space.
We think you need these skills to ace AI Observability Engineer — Backend & ML Pipelines
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in software development and your proficiency in Python. We want to see how your skills align with the role, so don’t hold back!
Get Specific with AI/ML Frameworks:Mention your knowledge of AI/ML frameworks like PyTorch and TensorFlow. We’re keen on seeing how you’ve used these tools in past projects, so give us the details!
Tailor Your Application:Don’t just send a generic application. Tailor your CV and cover letter to reflect the job description. We love it when candidates show they’ve done their homework about us and the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it!
How to prepare for a job interview at C0050 LiveRamp UK Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the AI/ML frameworks mentioned, like PyTorch and TensorFlow. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in software development and how you tackled them. Use examples that highlight your ability to enhance data reliability and observability in pipelines.
✨Understand the Company’s Mission
Research LiveRamp and their approach to data pipelines. Knowing their goals and how your role as an AI Observability Engineer fits into their vision will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the projects you might work on. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
