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- Tasks: Design and build scalable ML infrastructure while optimising generative AI technologies.
- Company: Leading delivery platform with a focus on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a significant impact by enhancing ML workflows and collaborating with top talent.
- Qualifications: Strong software engineering background and experience with ML platforms.
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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ML and AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML infrastructure and tooling. This could be anything from GitHub repos to blog posts explaining your work. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of CI/CD pipelines. Practice common ML scenarios and be ready to discuss how you’ve optimised workflows in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with generative AI technologies and collaborative projects. Let’s get you that dream job!
We think you need these skills to ace GenAI MLOps Platform Engineer — Scale ML Infra, Dubai in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in software engineering and ML platforms. We want to see how you've tackled challenges in the past, so don’t hold back on those impressive projects!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific tools or technologies you’ve worked with that relate to scalable machine learning infrastructure. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the GenAI MLOps position.
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 this exciting opportunity in Dubai!
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 enhancing workflows and what impact it had on the project. This will illustrate your ability to work well in a team 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 staying current.
