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 model deployment monitoring and lifecycle management
- Define feature engineering model training workflows experimentation workflows and model evaluation patterns
- Design standardized data flows for machine learning
- Expose machine learning outputs via APIs batch processes and real time services
- Partner to productionize models and reduce friction between experimentation and production
Perks/Benefits
- 401k match
- Business resource groups
- Dental insurance
- Family and medical leave
- Life insurance
- Medical insurance
- Paid Long Term Disability
- Paid Short Term Disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
API Development | AWS | Advanced Analytics | Data Architecture | Databricks | Experimentation | Feature Engineering | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Personalization | Real Time | Real-time Decisioning | Snowflake
Education
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