Related skills
terraform python kubernetes pytorch kafkaπ Description
- Lead complex ML projects and own ML architecture.
- Deliver production ML systems with cross-team collaboration.
- Embrace AI-first practices; use Claude Code to speed up development.
- Design CI/CD pipelines and deployment for ML systems.
- Build retraining pipelines with drift detection and monitoring.
- Create real-time and batch feature pipelines for identity and segmentation.
π― Requirements
- 5+ years building production ML systems and pipelines.
- Experience leading complex ML projects within a team.
- Expertise in deployment, model serving, feature engineering, monitoring.
- Python software engineering; familiarity with XGBoost, PyTorch, PySpark.
- Cloud-native infra, Kubernetes, Docker; Terraform familiarity.
- Mentoring teammates and elevating ML practices.
π Benefits
- Base salary: $186,000-$255,000; varies by location and level.
- Cash incentives available.
- Stock options with new-hire equity grant.
- 100% employee healthcare coverage; transport subsidies.
- Hybrid work: three days in office per week.
- Generous PTO and flexible schedule.
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