AI Engineer – Forward Deployed Engineer

🕒 July 31

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.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 varied domains • Present at conferences such as Data + AI Summit and act as an internal and external thought leader • Collaborate with product and engineering teams to influence priorities and shape the product roadmap • Deliver professional services engagements helping customers build and productionize first-of-their-kind AI applications • Support internal subject matter expert teams and contribute to long-term strategic priorities and initiatives

🎯 Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, and related techniques, using tools such as HuggingFace, LangChain, and DSPy • Expertise deploying production-grade GenAI applications, including evaluation and optimizations • Extensive hands-on industry data science experience using tools such as 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 • Willingness to travel once every 4–8 weeks to see customers as needed • Preferred: Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

🏖️ Benefits

• Comprehensive benefits and perks; specific benefits offered in the employee's region are provided via the linked regional benefits document