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Senior ML Solutions Architect

2 months ago


Canada Databricks Inc. Full time
Unlock the Power of Machine Learning with Databricks

As a Specialist Solutions Architect (SSA) - ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform.

Key Responsibilities:
  • Architect production-level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps.
  • Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML SME community in Databricks.
  • Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' ML offerings.
  • Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains.
  • Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring.
Requirements:
  • ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
  • Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
  • Excellent communication and teaching skills to communicate technical concepts to non-technical and technical audiences alike.
  • Ability to meet expectations for technical training and role-specific outcomes within 3 months of hire.
What We Offer:
  • Competitive compensation package, including eligibility for annual performance bonus, equity, and benefits.
  • Opportunity to work with a leading data and AI company, Databricks Inc.
  • Collaborative and dynamic work environment.