ML Engineer - Gen AI & LLM
Description For ML Engineer - Gen AI & LLM
Databricks is seeking a Machine Learning Engineer specializing in Generative AI & LLM to join their ML Practice team. This role offers an exciting opportunity to work at the forefront of LLM-based solutions, helping customers build and optimize ML pipelines. As part of a highly specialized customer-facing ML team, you'll be instrumental in delivering professional services engagements and shaping strategic initiatives.
The position combines hands-on technical work with customer interaction, requiring expertise in building Generative AI applications, including RAG architectures, agents, and LLM deployments. You'll work with cutting-edge tools and technologies while collaborating with cross-functional teams to influence product direction and mentor others in the ML community.
This is an ideal role for someone with strong ML engineering background who enjoys working directly with customers and stays current with the latest trends in LLMs and MLOps. The position offers the flexibility of remote work based in India, with the opportunity to impact major enterprises' AI initiatives.
Databricks, as the data and AI company, serves over 10,000 organizations worldwide, including 50% of Fortune 500 companies. The company's commitment to innovation in the AI space, combined with its strong market position and collaborative culture, makes this an excellent opportunity for ML engineers looking to work on meaningful, large-scale AI projects.
The role requires 4+ years of hands-on data science experience, expertise in ML tools and frameworks, and the ability to build production-grade ML deployments. You'll be part of a team that values unique specializations and contributes to the broader ML community through conference presentations and technical mentorship.
Responsibilities For ML Engineer - Gen AI & LLM
- 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 optimize customer data science workloads and apply best in class MLOps
- Advise data teams on various 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 product and engineering teams
Requirements For ML Engineer - Gen AI & LLM
- Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs
- 4+ years of hands-on industry data science experience
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline or equivalent practical experience
- Experience communicating technical concepts to various audiences
- Passion for collaboration, life-long learning, and driving business value through ML
Benefits For ML Engineer - Gen AI & LLM
- Comprehensive benefits package available - specific details can be found at mybenefitsnow.com/databricks
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