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- Tasks: Design and build scalable ML infrastructure while collaborating with data scientists.
- Company: Leading delivery platform at the forefront of technology in Dubai.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a significant impact on ML workflows and generative AI technologies.
- Qualifications: Strong software engineering background and experience with ML platforms.
- Other info: Challenging role with excellent collaboration across teams.
The predicted salary is between 36000 - 60000 £ per year.
A leading delivery platform is seeking an experienced ML Platform Engineer to design and build scalable machine learning infrastructure and tooling. This role involves collaborating with data scientists and engineers to enhance ML workflows, implement CI/CD pipelines, and optimize generative AI technologies. Candidates should have a strong background in software engineering and proven experience in ML platforms. This opportunity offers a challenging environment with significant impact across teams.
GenAI MLOps Platform Engineer — Scale ML Infra, Dubai in England employer: talabat
Contact Detail:
talabat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI MLOps Platform Engineer — Scale ML Infra, Dubai in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML or at companies you're eyeing. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to scalable ML infrastructure. This is your chance to demonstrate your expertise in CI/CD pipelines and generative AI technologies.
✨Tip Number 3
Prepare for technical interviews by brushing up on your software engineering fundamentals. Be ready to discuss your past experiences and how they relate to enhancing ML workflows. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to showcase your skills and connect with us directly. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace GenAI MLOps Platform Engineer — Scale ML Infra, Dubai in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML platforms and software engineering. We want to see how your skills align 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 excited about the GenAI MLOps Platform Engineer role and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working closely with data scientists and engineers, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can enhance our ML workflows!
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 one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at talabat
✨Know Your ML Infrastructure
Make sure you brush up on your knowledge of scalable machine learning infrastructure. Be ready to discuss specific tools and technologies you've used in the past, and how they can enhance ML workflows. This will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your CI/CD Experience
Since this role involves implementing CI/CD pipelines, be prepared to share examples of how you've successfully set these up in previous projects. Discuss any challenges you faced and how you overcame them, as this demonstrates problem-solving skills and adaptability.
✨Collaborate Like a Pro
Collaboration is key in this role, so think of examples where you've worked closely with data scientists or engineers. Highlight how you contributed to team success and improved workflows. This will illustrate your ability to work well in a team-oriented environment.
✨Stay Updated on Generative AI
Generative AI is a hot topic, so make sure you’re up-to-date with the latest trends and technologies in this area. Be ready to discuss how you’ve applied generative AI in your work or how you see it evolving in the future. This shows your passion for the field and your commitment to continuous learning.
