At a Glance
- Tasks: Develop and roll out GenAI solutions while advising customers on best practices.
- Company: Join a leading AI company focused on innovative solutions and customer success.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic team with opportunities to present at industry conferences.
- Why this job: Be at the forefront of AI technology and make a real difference in customer projects.
- Qualifications: Experience in AI development and strong communication skills are essential.
The predicted salary is between 80000 - 100000 £ per year.
The Databricks AI Forward Deployed Engineering (AI FDE) team is a customer‑facing unit delivering professional services to build and productionize Gen AI applications for customers.
This role is remote in the UK with preference for London, reporting to Senior Manager - AI FDE, EMEA.
You will develop Gen AI solutions, own production rollouts, and act as a trusted technical advisor across domains, collaborating with product and engineering to shape the roadmap and present at industry conferences.
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GenAI Forward-Deployed Engineer (Remote UK) in London employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities to engage with cutting-edge technology while working closely with industry-leading clients. Join us to make a meaningful impact in the data and AI landscape, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Forward-Deployed Engineer (Remote UK) in London
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We think you need these skills to ace GenAI Forward-Deployed Engineer (Remote UK) in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Databricks Inc., 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 Databricks Inc.. 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 Databricks Inc.
✨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
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✨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.
