At a Glance
- Tasks: Enhance AI solutions on the retrieval-augmented generation platform and mentor peers.
- Company: Zendesk, a leader in customer service technology with a focus on innovation.
- Benefits: Flexible working hours, professional development, and a remote-friendly environment.
- Other info: Dynamic work culture with opportunities for growth and collaboration.
- Why this job: Join a cutting-edge team and make a significant impact in AI at scale.
- Qualifications: 4+ years in machine learning, cloud services experience, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Zendesk is seeking a Senior ML Engineer to enhance their retrieval-augmented generation platform. This role involves delivering AI solutions at scale, collaborating with product teams, and mentoring peers.
Ideal candidates possess:
- 4+ years in machine learning
- Experience with cloud services
- Solid Python skills
The position offers flexible working hours, professional development, and a remote-friendly environment.
Senior ML Engineer, RAG & LLM Platform employer: Zendesk
Zendesk is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior ML Engineers to thrive. With flexible working hours and a strong emphasis on professional development, employees are encouraged to grow their skills while contributing to impactful AI solutions. The remote-friendly environment allows for a balanced work-life integration, making Zendesk a rewarding choice for those seeking meaningful employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, RAG & LLM Platform
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Zendesk on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best machine learning projects. We want to see how you’ve tackled real-world problems, especially with retrieval-augmented generation.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and cloud services. We can help you find resources to sharpen those skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who fit the bill!
We think you need these skills to ace Senior ML Engineer, RAG & LLM Platform
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your background fits into enhancing retrieval-augmented generation platforms, as it shows us you’re genuinely interested in what we do.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. This helps us understand your qualifications quickly!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy!
How to prepare for a job interview at Zendesk
✨Know Your ML Fundamentals
Brush up on your machine learning concepts, especially those related to retrieval-augmented generation. Be ready to discuss your past projects and how you've applied these principles in real-world scenarios.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. You might be asked to solve coding problems or explain your code from previous projects, so have examples ready that highlight your proficiency and problem-solving abilities.
✨Familiarise Yourself with Cloud Services
Since the role involves cloud services, make sure you understand the platforms relevant to the position. Be prepared to discuss how you've used cloud technologies in your previous roles and how they can enhance AI solutions.
✨Emphasise Collaboration and Mentorship
Zendesk values teamwork and mentorship, so think of examples where you've successfully collaborated with product teams or mentored peers. Highlight your communication skills and how you can contribute to a positive team environment.
