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- Tasks: Lead AI/ML initiatives and mentor teams in cutting-edge technologies.
- Company: A leading global crypto company with a focus on innovation.
- Benefits: Fully remote work, diverse culture, and competitive salary.
- Why this job: Make an impact in the crypto space while advancing your career in AI/ML.
- Qualifications: 10+ years in machine learning, expertise in Python and MLOps.
- Other info: Join a dynamic team that values diversity and inclusion.
The predicted salary is between 48000 - 72000 £ per year.
A leading global crypto company is seeking a senior engineer to lead Machine Learning initiatives. You will be responsible for setting technical direction, managing core ML systems, and mentoring teams to apply cutting-edge AI technologies. This position blends technical contributions with leadership roles.
Ideal candidates will have over 10 years of experience in machine learning and strong expertise in Python, MLOps practices, and distributed systems. The role is fully remote, promoting a diverse and inclusive workspace.
Remote AI/ML Platform Lead - Senior Engineer employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI/ML Platform Lead - Senior Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or relevant forums. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that highlight your expertise in Python and MLOps. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Be ready to discuss how you've set technical direction in past roles and mentored teams. We want to see your passion for AI technologies!
✨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 are proactive about their job search.
We think you need these skills to ace Remote AI/ML Platform Lead - Senior Engineer
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 10+ years of experience in machine learning. We want to see how you've led initiatives and managed core ML systems, so don’t hold back on those details!
Get Technical: Since this role is all about setting technical direction, be sure to showcase your expertise in Python, MLOps practices, and distributed systems. We love seeing specific examples of how you've applied these skills in past projects.
Leadership Matters: This position blends technical contributions with leadership roles, so share your mentoring experiences. We’re keen to know how you’ve guided teams in applying cutting-edge AI technologies.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Kraken
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and ML technologies. Brush up on your Python skills and be ready to discuss MLOps practices and distributed systems in detail. The interviewers will want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, prepare examples of how you've successfully guided others in previous positions. Think about specific challenges you faced and how you helped your team overcome them. This will demonstrate your ability to lead effectively.
✨Prepare for Technical Challenges
Expect to face technical questions or even coding challenges during the interview. Practice common ML algorithms and be ready to solve problems on the spot. It’s a great way to show off your expertise and problem-solving skills.
✨Emphasise Diversity and Inclusion
As the company promotes a diverse and inclusive workspace, be prepared to discuss how you’ve contributed to such environments in the past. Share your thoughts on the importance of diversity in tech and how it can enhance team performance and innovation.
