AI Engineer
Databricks
IndiaremotePosted 14 days ago
Skill Required
AI-EngineeringMachine-Learning-EngineeringData-ScienceProfessional-ServicesGenAIAI-EngineerArtificial-Intelligence-EngineerAI-ML-EngineerAI-Engineering-SpecialistArtificial-Intelligence-EngineeringPython-AI-EngineerAI-Engineering-JobsAI EngineerAIMachine LearningScikit-learnEngineeringStatisticsDatabricksLangChainanalyticsbuildingPyTorchetc.)PandasSparkAzureUnityGenerative AIRAGAWSGCPandFulltime
Key highlights
- Open to remote locations
- Travel once every 4-8 weeks to see customers (as needed)
- Presentation opportunity at Data + AI Summit conference
- Cross-functional collaboration with product and engineering teams to influence priorities and shape product roadmap
- Databricks serves 20,000+ organizations worldwide including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500
Role overview
The AI Forward Deployed Engineering (AI FDE) team at Databricks is a highly specialized customer-facing AI team that delivers professional services engagements to help customers build and productionize first-of-its-kind AI applications. The team works 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. They operate as an ensemble, seeking individuals with strong, unique specializations to improve overall team strength. This role is for those who love working with customers and teammates while fueling curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The position is open to remote locations.
Responsibilities
- 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
Requirements
- 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
Nice to have
- Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
- Willing to travel once every 4-8 weeks to see customers (as needed)
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees (details available by region)
- Committed to fostering a diverse and inclusive culture where everyone can excel
- Hiring practices are inclusive and meet equal employment opportunity standards
- 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
Additional details
- 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.
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- Originally posted on Himalayas