At a Glance
- Tasks: Design and implement AI solutions for cutting-edge GPU workloads across Northern Europe.
- Company: CoreWeave, a leader in AI and GPU infrastructure solutions.
- Benefits: Competitive salary, travel opportunities, and professional growth in a dynamic field.
- Other info: Exciting travel opportunities and a chance to work with top-tier clients.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Experience in AI, MLOps, and strong problem-solving skills required.
The predicted salary is between 70000 - 90000 £ per year.
Core Weave is seeking an Account Solution Architect for Northern EMEA.
You’ll work with an AE and AM to land and expand across AI labs, research institutions, and enterprises running GPU workloads.
Expect in-depth discussions on model training, MLOps, and GPU infrastructure, with travel up to 40%.
You’ll cover the Nordics and Benelux, design end-to-end solutions across ML infra, and drive Po Cs and architecture reviews to decisions.
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AI Solutions Architect - Northern Europe (ML/MLOps) employer: CoreWeave Europe
As an Executive Assistant at our innovative and rapidly scaling company, you will thrive in a dynamic work culture that prioritises creative disruption and employee growth. We offer a competitive salary alongside a comprehensive benefits package, including family-level medical and dental insurance, generous pension contributions, and tuition reimbursement, ensuring that you and your family are well taken care of while you excel in your role. Join us to be part of a supportive environment where your contributions are valued and opportunities for professional development abound.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Architect - Northern Europe (ML/MLOps)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Solutions Architect - Northern Europe (ML/MLOps)
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 CoreWeave Europe, 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 CoreWeave Europe. 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 CoreWeave Europe
✨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 CoreWeave Europe!
✨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.
