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- Tasks: Promote Ray in the ML and AI community while building innovative ML systems.
- Company: Leading tech company based in London with a focus on AI advancements.
- Benefits: Hybrid work model, competitive salary, and opportunities for travel across EMEA.
- Why this job: Join a passionate team and make a difference in the AI community.
- Qualifications: 4+ years in ML/AI, strong Python skills, and a desire to help others.
- Other info: Engaging role with opportunities for personal and professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in London is looking for a Sr/Staff AI Engineer to promote Ray within the ML and AI community. The role focuses on building ML systems, creating production-quality demos, and engaging with engineers through blogs, talks, and open discussions.
Candidates should have:
- 4+ years of experience in ML/AI
- Excellent Python skills
- A passion for helping others in the field
A hybrid work arrangement is available, with regular travel across EMEA expected.
EMEA AI DevRel Engineer - Ray Advocate & Community in London employer: Anyscale
Contact Detail:
Anyscale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land EMEA AI DevRel Engineer - Ray Advocate & Community in London
✨Tip Number 1
Network like a pro! Attend meetups, webinars, and conferences related to AI and ML. Engaging with the community can lead to valuable connections and job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, demos, and any contributions to open-source. This will help you stand out and demonstrate your expertise in Python and ML.
✨Tip Number 3
Be active on social media! Share your insights, write blogs, or even create videos about Ray and AI topics. This not only builds your personal brand but also shows your passion for the field.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience and enthusiasm for promoting Ray within the community.
We think you need these skills to ace EMEA AI DevRel Engineer - Ray Advocate & Community in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and ML shine through. We want to see how you engage with the community and share your knowledge, so don’t hold back on showcasing your passion!
Highlight Relevant Experience: Make sure to detail your 4+ years of experience in ML/AI clearly. We’re looking for specific examples of projects you've worked on, especially those that involved building ML systems or creating demos.
Be Authentic: We love genuine voices! Write your application in a way that reflects who you are. Share your unique perspective and experiences in the field, as this will help us get to know you better.
Apply Through Our Website: Don’t forget 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 role. We can’t wait to hear from you!
How to prepare for a job interview at Anyscale
✨Know Your Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss your past projects, especially those involving Ray. Highlight your Python skills and be prepared to explain how you've used them in real-world applications.
✨Engage with the Community
Since this role involves promoting Ray within the ML and AI community, show your passion for community engagement. Share examples of how you've contributed to discussions, blogs, or talks in the past. This will demonstrate your commitment to helping others in the field.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding challenges in Python and be ready to solve problems on the spot. Familiarise yourself with common ML algorithms and frameworks, as they might come up in conversation.
✨Show Your Travel Readiness
Since regular travel across EMEA is expected, express your enthusiasm for this aspect of the job. Share any previous experiences you have with travel for work or conferences, and how you manage your time effectively while on the go.
