AI Forward Deployed Engineer

🔥 1 minute ago

🇸🇪 Sweden – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Develop cutting-edge GenAI solutions using the latest Databricks AI research to solve customer problems • Own production rollouts of consumer-facing and internally facing GenAI applications • Serve as a trusted technical advisor to customers across various domains • Present at conferences such as Data + AI Summit • Build internal and external thought leadership • Collaborate with product and engineering teams to influence priorities and shape the product roadmap • Report to the Senior Manager, AI FDE, EMEA

🎯 Requirements

• Minimum 4 years' experience • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning • Experience with HuggingFace, LangChain, and DSPy • Expertise deploying production-grade GenAI applications, including evaluation and optimisations • Extensive hands-on industry data science experience • Experience with pandas, scikit-learn, and PyTorch • Experience building production-grade machine learning deployments on AWS, Azure, or GCP • Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience • Experience communicating and/or teaching technical concepts to technical and non-technical audiences • Passion for collaboration, lifelong learning, and driving business value through AI • Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets preferred • Willingness to travel once every 4–8 weeks to see customers as needed

🏖️ Benefits

• Comprehensive benefits and perks; specific details vary by region • Remote work arrangement for candidates based in Sweden • Opportunity to work with customers and cutting-edge GenAI technologies • Conference presentation and thought-leadership opportunities • Cross-functional collaboration with engineering, product, and developer relations teams

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