# Evergreen - AI Engineer, AI FDE

**Company**: Databricks
**Location**: Bengaluru
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8878946002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b4f20f0b-3c5

## Description

The Machine Learning (ML) Practice team at Databricks is a highly specialised customer-facing ML team that delivers professional services engagements to help customers build, scale, and optimise ML pipelines. As an AI Engineer on this team, you will develop LLM solutions on customer data, build and optimise customer data science workloads, advise data teams on data science best practices, and collaborate with product and engineering teams to define priorities and influence the product roadmap.

Responsibilities:

- Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation

- Build, scale, and optimise customer data science workloads and apply best-in-class MLOps to productionise these workloads across a variety of domains

- Advise data teams on various aspects of data science, such as architecture, tooling, and best practices

- Present at conferences such as Data+AI Summit

- Provide technical mentorship to the larger ML SME community in Databricks

- Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap

Requirements:

- Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI

- 5+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch

- 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 ML

Benefits:

- Comprehensive benefits and perks that meet the needs of all employees

- Specific details on benefits offered in your region can be found [here](link not provided)

Commitment to Diversity and Inclusion:

- Databricks is committed to fostering a diverse and inclusive culture where everyone can excel.

- The company takes great care to ensure that its hiring practices are inclusive and meet equal employment opportunity standards.

## Skills

### Required
- Generative AI
- LLMs
- MLOps
- Data Science
- Machine Learning
- HuggingFace
- Langchain
- OpenAI
- pandas
- scikit-learn
- TensorFlow
- PyTorch
- AWS
- Azure
- GCP

### Nice to have
- Databricks
- Apache Spark

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8878946002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)