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Senior Specialist Solutions Engineer AI/ML - Databricks
Software Engineer
Senior Solutions Engineer who partners with customers and field teams to design, build, and scale production‑grade AI/ML applications on the Databricks platform, leveraging LLMOps, GenAI, and modern data engineering practices.
About the role
Key Responsibilities
- Collaborate with Solution Architects and customers to design end‑to‑end, production‑ready machine‑learning pipelines on Databricks.
- Provide deep technical guidance on LLMOps, Generative AI, and model lifecycle management, ensuring alignment with customers' roadmaps.
- Develop PoCs, demos, and reference architectures that showcase best practices for scaling AI/ML workloads using Spark and the Databricks Data Intelligence Platform.
- Mentor field engineering teams on AI/ML concepts, troubleshooting, and performance optimization.
- Stay current with emerging AI technologies and contribute to internal knowledge bases and enablement materials.
Requirements
- 5+ years of hands‑on experience building and deploying machine‑learning solutions in production, preferably on cloud platforms.
- Strong proficiency in Python and Spark for data processing and model training.
- Deep understanding of large language models, LLMOps, and Generative AI techniques.
- Proven ability to translate complex technical concepts into clear, actionable guidance for customers and internal teams.
- Excellent communication and collaboration skills, with a track record of influencing technical decisions.
Skills
pythonmachine learninggenerative aidatabricksapache spark