Specialist Solutions Architect - Data Science / Machine Learning (Public Sector)

<p data-pm-slice="1 1 []">FEQ127R251</p> <p><span style="font-weight: 400;">As a Specialist Solutions Architect (SSA) - Data Science / Machine Learning on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with MLFlow™ and expertise in other MLOps technologies.  SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be machine learning, MLOps, industry expertise, or more.</span></p> <p><strong>The impact you will have:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from feature engineering, training, tracking, registry, serving to model monitoring all within a single platform</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Architect production level workloads, including end-to-end ML pipelines load performance testing and optimization</span></li> <li style="font-weight: 400;">Serve as the trusted technical advisor for customers developing GenAI and Agentic solutions, such as RAG architectures on enterprise knowledge repos, MCP tool integration, querying structured data with natural language, content generation, and monitoring</li> <li style="font-weight: 400;"><span style="font-weight: 400;">Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Provide tutorials and training to improve community adoption (including hackathons and conference presentations)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Contribute to adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community</span></li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>Must be eligible and willing to be processed for a U.S. Government clearance</li> <li>[Preferred] DoD Secret or Top Secret Clearance</li> <li>7+ years experience in a technical role with expertise in: <ul> <li>Data Scientist/ML Engineer: model selection, model lifecycle, model scaling, AutoML, hyperparameter tuning, model serving, model monitoring, deep learning</li> <li>MLOps Engineer: Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms, monitors data drift, integration with production systems</li> </ul> </li> <li>Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems</li> <li>Experience maintaining and extending production data systems to evolve with complex needs</li> <li>Deep Specialty Expertise regarding ML concepts including Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apach ... (truncated, view full listing at source)