Senior Machine Learning Solutions Architect
Tasks
- Architect end-to-end machine learning solutions
- Build reusable feature pipelines and model serving frameworks
- Define MLOps patterns for deployment and monitoring
- Define architectural patterns for feature engineering and model training
- Design data flows across systems
- Expose machine learning outputs through APIs and real time services
- Partner to productionize experimentation into scalable systems
Perks/Benefits
- Flexible work environment
- Health insurance
- Paid disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Retirement savings (401k)
- Tuition reimbursement
Skills/Tech-stack
APIs | AWS | Advanced Analytics | Cloud platform | Data Architecture | Databricks | Experimentation | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Real Time | Real-time Processing | Snowflake | Time processing
Education
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