At a Glance
- Tasks: Measure and enhance AI systems by defining performance metrics and designing evaluation tests.
- Company: ConnexAI, a forward-thinking tech company based in Manchester.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a team that shapes the future of AI and improves user experiences.
- Qualifications: Strong Python skills and experience in AI quality measurement.
The predicted salary is between 50000 - 70000 € per year.
ConnexAI in Manchester is looking for a professional to measure and improve AI systems in production. This role focuses on defining performance metrics for LLMs, ASR, and TTS, and requires strong Python skills.
Responsibilities include:
- Designing evaluation tests
- Building datasets
- Collaborating with product and engineering teams to ensure AI improvements translate into better user experiences
Ideal candidates should have a solid understanding of AI quality measurement and experience in machine learning environments.
AI Quality & Evaluation Engineer: Production Metrics in Manchester employer: ConnexAI
ConnexAI is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, a supportive environment for growth, and the chance to work on cutting-edge AI technologies that directly enhance user experiences. With a commitment to employee well-being and a focus on meaningful contributions, ConnexAI stands out as a rewarding place to advance your career in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality & Evaluation Engineer: Production Metrics in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those working at ConnexAI. 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 Python projects related to AI quality measurement. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for the technical side of things. Brush up on defining performance metrics for LLMs, ASR, and TTS. Being able to discuss these topics confidently will impress the hiring team.
✨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 the initiative!
We think you need these skills to ace AI Quality & Evaluation Engineer: Production Metrics in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python skills and any experience you have with AI quality measurement. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills can help us improve our systems. Be specific about your experience with LLMs, ASR, and TTS, and how you can contribute to better user experiences.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've designed evaluation tests or built datasets. We love seeing how you tackle challenges, so share examples that demonstrate your analytical thinking and creativity in machine learning environments.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at ConnexAI
✨Know Your Metrics
Make sure you understand the key performance metrics for LLMs, ASR, and TTS. Brush up on how these metrics are defined and measured, as well as any recent advancements in AI quality measurement. This will show your potential employer that you're not just familiar with the concepts but also passionate about improving AI systems.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be prepared to discuss your experience with Python in detail. Bring examples of projects where you've used Python to build datasets or design evaluation tests. If possible, practice coding challenges related to AI evaluation to demonstrate your technical prowess during the interview.
✨Collaborate Like a Pro
This role involves working closely with product and engineering teams, so be ready to talk about your collaborative experiences. Share specific examples of how you've worked with cross-functional teams to achieve common goals, especially in machine learning environments. Highlight your communication skills and how they contribute to successful project outcomes.
✨Prepare Questions
Interviews are a two-way street, so prepare thoughtful questions about ConnexAI's approach to AI quality measurement and their current projects. This not only shows your interest in the company but also helps you gauge if it's the right fit for you. Ask about their challenges in AI evaluation and how you can contribute to overcoming them.
