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 diversity.
- Benefits: Enjoy comprehensive benefits, remote work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values lifelong learning and collaboration.
- 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance:
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
AI Engineer - FDE (Forward Deployed Engineer) 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)
✨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 tools like HuggingFace and PyTorch. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences. Mock interviews can help you feel more confident!
✨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)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your experience with GenAI applications and any relevant tools like HuggingFace or PyTorch. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your unique background makes you a great fit for the AI FDE team. Don’t forget to mention any customer-facing experiences you've had, as we love collaboration.
Showcase Your Projects:If you've worked on any cool projects related to GenAI or machine learning, make sure to include them! We’re interested in seeing how you’ve applied your skills in real-world scenarios. This is your opportunity to demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at Databricks!
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, LLMOps, and machine learning. Be ready to discuss your experience with tools like HuggingFace and LangChain, as well as any projects you've worked on that showcase your skills in building GenAI applications.
✨Showcase Your Collaboration Skills
Since this role involves working cross-functionally, be prepared to share examples of how you've collaborated with different teams in the past. Highlight any experiences where you served as a technical advisor or communicated complex concepts to non-technical audiences.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around deploying production-grade applications on platforms like AWS, Azure, or GCP. Brush up on your knowledge of data science tools like pandas and PyTorch, and be ready to discuss optimisation techniques you've used.
✨Be Ready to Discuss Impact
Think about how your work has driven business value in previous roles. Prepare to talk about specific outcomes from your projects, especially those that involved cutting-edge AI solutions. This will show your potential employer that you understand the importance of aligning technical work with business goals.
