Collaborate with customer Analytics/BI teams and BrazeAI colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Job Summary
Collaborate with customer Analytics/BI teams and BrazeAI colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration.
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.
Matching Summary
Collaborate with customer Analytics/BI teams and BrazeAI colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration.
Skills & Requirements
Must-have
Python (Pandas)
ML libraries (TensorFlow, Keras, scikit-learn)
SQL for data manipulation
Machine learning pipelines
Model deployment
Git, CI/CD, testing frameworks
Nice-to-have
Customer-facing experience
Consulting roles
DevOps tools (Airflow, Kubernetes)
Data integration/ETL
Reinforcement learning algorithms
Entrepreneurial problem-solver
Continuous learner
Key Requirements
3-5+ years experience
Bachelor's degree required
Master's or PhD preferred
Customer-facing or consulting experience strongly preferred