At a Glance
- Tasks: Develop cutting-edge GenAI solutions and collaborate with customers to solve real-world problems.
- Company: Join Databricks, a leader in AI innovation with a focus on collaboration and growth.
- Benefits: Enjoy comprehensive benefits, remote work options, and opportunities for professional development.
- Other info: Be part of a diverse team that values inclusion and lifelong learning.
- Why this job: Make an impact in the AI field while working with the latest technologies and trends.
- Qualifications: Experience in building GenAI applications and strong data science skills are essential.
The predicted salary is between 60000 - 80000 € per year.
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.
Impact you will have
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems.
- Own production rollouts of consumer and internally facing GenAI applications.
- Serve as a trusted technical advisor to customers across a variety of domains.
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.
What we look for
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
- Passion for collaboration, life-long learning, and driving business value through AI.
- (Preferred) Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
AI Engineer - FDE (Forward Deployed Engineer) in London employer: Cacheflow
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our AI Forward Deployed Engineering team is at the forefront of cutting-edge technology, providing employees with unique opportunities for professional growth and the chance to make a significant impact in the AI landscape. With a commitment to diversity and inclusion, comprehensive benefits, and the flexibility of remote work, Databricks is the ideal place for those looking to advance their careers while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - FDE (Forward Deployed Engineer) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those at Databricks. 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 GenAI projects or any cool applications you've built. This is your chance to shine and demonstrate your expertise in deploying production-grade applications. Make sure to share it during interviews!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of tools like HuggingFace and PyTorch. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Databricks team. Let’s get you that AI Engineer role!
We think you need these skills to ace AI Engineer - FDE (Forward Deployed Engineer) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with GenAI applications and any relevant projects you've worked on. We want to see how your unique skills can contribute to our team!
Showcase Your Passion:Let your enthusiasm for AI and machine learning shine through in your application. Share any personal projects or experiences that fuel your curiosity in the field. We love seeing candidates who are genuinely excited about the latest trends!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your technical expertise and how it aligns with the role. We appreciate clarity and want to understand your qualifications easily.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Cacheflow
✨Know Your GenAI Stuff
Make sure you brush up on the latest trends in Generative AI and machine learning. Be ready to discuss your experience with tools like HuggingFace and LangChain, and how you've applied them in real-world scenarios. This shows you're not just familiar with the tech but can also leverage it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems using AI solutions. Think about times when you deployed production-grade applications or optimised existing systems. This will demonstrate your hands-on experience and ability to deliver results.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical audiences, practice explaining complex concepts in simple terms. You might even want to prepare a mini-presentation on a project you've worked on, highlighting your role and the impact it had. This will showcase your communication skills and your ability to engage diverse stakeholders.
✨Be Ready to Collaborate
Collaboration is key in this role, so think of examples where you've successfully worked in a team setting. Whether it's cross-functional projects or mentoring others, showing that you thrive in a collaborative environment will resonate well with the interviewers.
