Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.