Databricks Developer

Role Descriptions: Job Title  ML EngineerSkills  Databricks| with strong Spark SQL and PySpark experience with Delta Lake| Unity Catalog| MLflow| and Databricks JobsWorkflowsLocation Plano TexasRole SummaryWe are seeking a ML Engineer to build| operate| and optimize production-grade machine learning pipelines in Databricks. The role will focus on building a closed-loop feedback for continuous model improvement|  user and data onboarding components for the ML system| implement the ML pipeline cost optimization requirements| enabling securecustom configuration patterns at scale| and leading a phased migration of workloads to Spark MLlib.Key ResponsibilitiesExpert  hands-on experience with Databricks|  with strong Spark SQL and PySpark experience with Delta Lake| Unity Catalog| MLflow| and Databricks JobsWorkflows.Solid grasp of software engineering (versioning| testing| containerization| automation) and secure-by-default practices.Design and implement ML pipelines for data preprocessing| feature engineering| model training| hyperparameter tuning| and model evaluation| enabling rapid experimentation and iteration.Work closely with cross-functional teams| including AI researchers| ML engineers| and product teams| to deliver impactful AI solutions that enhance user productivity and satisfaction.Build scalable| reusable backend systems to support GenAI products across the company. Develop robust logging| telemetry| and evaluation harnesses to ensure reliable model performance.

Essential Skills: Job Title  ML EngineerSkills  Databricks| with strong Spark SQL and PySpark experience with Delta Lake| Unity Catalog| MLflow| and Databricks JobsWorkflowsLocation Plano TexasRole SummaryWe are seeking a ML Engineer to build| operate| and optimize production-grade machine learning pipelines in Databricks. The role will focus on building a closed-loop feedback for continuous model improvement|  user and data onboarding components for the ML system| implement the ML pipeline cost optimization requirements| enabling securecustom configuration patterns at scale| and leading a phased migration of workloads to Spark MLlib.Key ResponsibilitiesExpert  hands-on experience with Databricks|  with strong Spark SQL and PySpark experience with Delta Lake| Unity Catalog| MLflow| and Databricks JobsWorkflows.Solid grasp of software engineering (versioning| testing| containerization| automation) and secure-by-default practices.Design and implement ML pipelines for data preprocessing| feature engineering| model training| hyperparameter tuning| and model evaluation| enabling rapid experimentation and iteration.Work closely with cross-functional teams| including AI researchers| ML engineers| and product teams| to deliver impactful AI solutions that enhance user productivity and satisfaction.Build scalable| reusable backend systems to support GenAI products across the company. Develop robust logging| telemetry| and evaluation harnesses to ensure reliable model performance.

Desirable Skills:

Keyword:

Skills: Digital : Machine Learning~Digital : Databricks~Digital : PySpark Experience Required: 8-10