Senior Machine Learning Solutions Architect
Tasks
- Architect end-to-end machine learning solutions
- Build reusable feature pipelines model serving frameworks and data access patterns
- Define MLOps patterns for deployment monitoring and lifecycle management
- Define architectural patterns for feature engineering model training experimentation and evaluation
- Design standardized data flows
- Expose machine learning outputs through APIs batch and real time services
- Partner with data scientists to productionize models and scale experimentation
Perks/Benefits
- Business resource groups BRGs
- Family and Medical Leave FMLA
- Leave of Absence Programs
- Medical, dental, vision and life insurance
- Paid Short term and long term disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Retirement savings (401k)
- Tuition reimbursement
Skills/Tech-stack
APIs | AWS | Advanced Analytics | Data Architecture | Data Engineer | Data Movement | Databricks | Event Driven | Event-driven architecture | Experimentation | Feature Engineering | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Real Time | Real-time Decisioning | Snowflake | Snowflake Data Engineer | Snowflake data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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