At a Glance
- Tasks: Design and evolve scalable data/ML infrastructure using Python and Spark.
- Company: Join ASOS, a leading fashion retailer embracing cutting-edge technology.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on security and observability.
- Why this job: Make an impact in AI and data science while working on innovative projects.
- Qualifications: Experience in data processing, CI/CD, and infrastructure as code.
The predicted salary is between 63000 - 77000 £ per year.
ASOS is seeking a Platform Engineer for Data Science & AI Platform to design and evolve scalable data/ML infrastructure. You will implement platform-level IaC, CI/CD, and environment management to support reproducible workloads across dev/test/prod, and build components with Python and Spark for data processing.
You will contribute to shared services for data/ML lifecycle, support AgentOps capabilities, and ensure security and observability across data, ML, and agent workloads.
AI Platform Engineer: Data Science & ML Infra employer: asos.com Ltd
ASOS is an exceptional employer that fosters a vibrant and inclusive work culture, perfect for creative minds eager to make an impact in the fashion industry. With a focus on employee development, ASOS offers numerous growth opportunities and encourages innovation within its teams, ensuring that every voice is heard. Located in a dynamic environment, employees benefit from a collaborative atmosphere that thrives on cultural relevance and community engagement, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer: Data Science & ML Infra
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Platform Engineer: Data Science & ML Infra
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at asos.com Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at asos.com Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at asos.com Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at asos.com Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
