Senior Databricks AI/ML Engineer
hace 1 día
Seattle
LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms. Salary & Benefits: • $135k to $180k annually (depending on location & experience), • Medical, dental, and vision insurance, • 401(k) plan with employer match, • Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year., • PTO included Four (4) personal days are granted immediately upon hire., • Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year., • Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status)., • Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community., • Life and disability insurance Minimum Qualifications: • Bachelor’s degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience)., • 6+ years experience in ETL pipelines, SQL Server, and production data workflows., • 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics., • 3+ years applying ML algorithms and transforming data science prototypes into production., • 5+ years experience with CI/CD workflows for ML models and related code., • Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques., • Familiarity with agile methodologies (e.g., Scrum). Responsibilities: • Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML., • Serve as Databricks Architect, managing workspace design, deployment, and governance across environments., • Define and implement Databricks Lakehouse architecture and governance best practices., • Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow., • Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management., • Set up and configure Azure and Databricks infrastructure for AI/ML workloads., • Review ML model code and analytics scripts for quality and performance., • Design and build data pipelines and cloud services for monitoring, analysis, and reporting., • Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data., • Provide production support and performance tuning for data engineering workflows., • Optimize complex SQL queries and stored procedures for data processing and business logic., • Collaborate with cross-functional teams to ensure data quality and support business decision-making., • Scale and deploy machine learning models to handle large-scale data., • Feed raw data into models and build deployment pipelines for new models., • Implement logging, observability, and performance monitoring for AI/ML systems., • Conduct architecture reviews and performance testing., • Perform other duties as assigned. Preferred Qualifications: • Master’s degree in a related field., • Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications., • Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services., • Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables., • Strong math, problem-solving, and rapid learning skills., • Excellent communication, organization, and independent work capabilities., • Service-oriented mindset with ability to handle ambiguity and build strong relationships. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ___ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act, • Los Angeles City Fair Chance Ordinance, • Los Angeles County Fair Chance Ordinance for Employers, • San Francisco Fair Chance Ordinance