At a Glance
- Tasks: Develop intelligent observability systems and collaborate with a diverse tech team.
- Company: Join LiveRamp, a leader in AI technology and innovation.
- Benefits: Competitive salary, potential contract extension, and a vibrant work culture.
- Other info: Exciting opportunity for growth in a dynamic tech environment.
- Why this job: Be at the forefront of AI/ML integration and make a real impact.
- Qualifications: 1-2 years of software development experience and Python proficiency required.
The predicted salary is between 40000 - 50000 € per year.
LiveRamp is looking for an AI Software Engineer to develop intelligent observability systems in London. This full-time role involves collaboration with backend engineers, data scientists, and more, integrating AI/ML components.
Applicants should have 1-2 years of software development experience, proficiency in Python, and familiarity with AI applications. This position requires a bachelor's degree in a related technical field. The role offers a six-month fixed-term contract with potential for extension.
London AI Reliability & Observability Engineer employer: LiveRamp
LiveRamp is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer opportunities for professional development and the chance to work alongside talented individuals in the AI and software engineering fields. Our commitment to integrating cutting-edge technology ensures that you will be part of meaningful projects that drive the future of observability systems.
StudySmarter Expert Advice🤫
We think this is how you could land London AI Reliability & Observability Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at LiveRamp or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or any relevant software development work. This is your chance to demonstrate your Python prowess and how you can contribute to observability systems.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to AI and software engineering. We recommend practicing coding challenges and discussing your past experiences with AI applications to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace London AI Reliability & Observability Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software development, especially with Python and AI applications. 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 excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for AI and observability systems.
Showcase Collaboration Skills:Since this role involves working with backend engineers and data scientists, highlight any teamwork experiences you've had. We appreciate candidates who can communicate effectively and work well in a team setting.
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 us during the process!
How to prepare for a job interview at LiveRamp
✨Know Your Tech
Make sure you brush up on your Python skills and any AI/ML concepts relevant to the role. Be ready to discuss your previous projects and how you've applied these technologies in real-world scenarios.
✨Collaborate Like a Pro
Since this role involves working with backend engineers and data scientists, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you can contribute to a cohesive team environment.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical abilities and how you approach challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, the team dynamics, or how they envision the future of AI in their systems. This shows you're genuinely interested and engaged.
