Senior Software Engineer, Data Product
Tasks
- Build scalable Python services
- Create feature pipelines for offline and online inference
- Deploy monitor and improve ML powered services
- Design backend services for ML predictions
- Drive engineering best practices through reviews and mentorship
- Evaluate tools and frameworks for ML serving and reliability
- Implement MLOps for model versioning rollout and rollback
- Instrument observability for latency throughput drift and prediction quality
- Lead API design and technical architecture reviews
- Operationalize models with Data Science teams
Perks/Benefits
- Engineering autonomy
- Inclusive work environment
- Mentorship
- Remote-first flexibility
- Technical leadership development
Skills/Tech-stack
A/B | A/B Testing | Asynchronous programming | B testing | Canary Releases | Distributed Systems | Drift Detection | Event Driven | Event-driven architecture | FastAPI | Kafka | Latency monitoring | MLOps | MLflow | Machine Learning | Model versioning | Observability | PostgreSQL | Python | Shadow Deployment | Throughput Monitoring
Education
N/A
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