At a Glance
- Tasks: Develop intelligent observability systems using backend engineering and AI.
- Company: Join LiveRamp, a leader in data reliability and innovation.
- Benefits: Competitive pay, flexible work, and opportunities for skill enhancement.
- Other info: Work in a dynamic environment with great career growth potential.
- Why this job: Make a real impact on data pipelines with cutting-edge AI technology.
- Qualifications: Experience in software development, Python, and 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 in London 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 work-life balance, the company offers unique opportunities for career advancement while working in the vibrant environment of Greater London.
StudySmarter Expert Advice🤫
We think this is how you could land AI Observability Engineer — Backend & ML Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with observability systems. A friendly chat can open doors that job applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python and AI/ML frameworks like PyTorch and TensorFlow. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend engineering and AI observability. We recommend practicing coding challenges and discussing your thought process out loud.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Observability Engineer — Backend & ML Pipelines in London
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!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your knowledge of AI/ML frameworks like PyTorch and TensorFlow, as it’ll show us you’re a perfect fit for the job.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to what makes you a great candidate.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
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 challenges they face. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
