Related skills
machine learning data science ai apache spark langchain📋 Description
- Lead architectural design of production ML workloads on Databricks.
- Build MVPs and lead deep-dive technical sessions for customers.
- Advise on GenAI and RAG architectures using enterprise knowledge bases.
- Drive adoption via tutorials, training content, hackathons, and talks.
- Collaborate with Solution Architects to align ML solutions with customer goals.
- Mentor peers and establish yourself as an ML expert.
🎯 Requirements
- Customer-facing Data Science ML and data engineering background.
- Pre-sales or post-sales experience with external clients.
- Cloud ML infra development with drift monitoring AWS/Azure/GCP.
- NLP: vector DBs, fine-tuning LLMs with HuggingFace LangChain OpenAI.
- Distributed Spark based systems experience.
- Graduate degree or equivalent; strong communication; travel up to 30%.
🎁 Benefits
- Comprehensive benefits by region (details in the posting).
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