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- Tasks: Build scalable ML pipelines and deploy models for an AI-driven wine exchange platform.
- Company: Leading wine trading tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a passionate team transforming the wine trade with cutting-edge technology.
- Qualifications: Experience in Python, MLOps best practices, and AWS services required.
- Other info: Dynamic environment with a focus on efficiency and safety in the wine industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading wine trading technology company seeks a Machine Learning Engineer to develop the MLOps infrastructure for their AI-driven wine exchange platform. You will work on building scalable ML pipelines and deploying models using Databricks and AWS. The ideal candidate has extensive experience in Python, MLOps best practices, and AWS services. Join a dedicated team aiming to enhance the wine trade's efficiency and safety through innovative technology.
MLOps Engineer - Production AI at Scale employer: Liv-ex Ltd
Contact Detail:
Liv-ex Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer - Production AI at Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the wine tech industry or MLOps community. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving Python and AWS. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on MLOps best practices. Be ready to discuss how you've built scalable ML pipelines and deployed models in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you a better shot at landing that dream job.
We think you need these skills to ace MLOps Engineer - Production AI at Scale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, MLOps best practices, and AWS services. We want to see how your skills align with the role of MLOps Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the wine trading technology space and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any ML pipelines or deployed models before, make sure to mention them in your application. We’re keen to see real-world examples of your work, especially if they involve Databricks or AWS!
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 dedicated team at StudySmarter!
How to prepare for a job interview at Liv-ex Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Databricks, and AWS. Brush up on your knowledge of MLOps best practices and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in building scalable ML pipelines. Highlight your thought process and the solutions you implemented to overcome those hurdles.
✨Understand the Wine Industry
Familiarise yourself with the wine trading sector and how technology is transforming it. This will not only show your interest but also help you connect your technical skills to the company's mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future goals. This demonstrates your enthusiasm for the role and helps you gauge if the company culture aligns with your values.