Sr Engineer - Machine Learning - Regulatory
Tasks
- Build data pipelines for financial market data
- Collaborate on machine learning experiments
- Communicate technical information to technical and end user audiences
- Develop and operate AI agent systems in production
- Develop process compliance solutions for AI and ML
- Develop test driven Python code
- Evaluate ML model performance across lifecycle
- Implement AI and ML explainability
- Maintain technical documentation
- Monitor models in production
- Own and evolve ML training and deployment infrastructure
- Perform code review and provide architecture guidance
- Work in on-premises and cloud environments
Perks/Benefits
- 401k match
- Company Charitable Giving Match
- Complimentary Lunch Snacks Coffee
- Employee referral bonus
- Fertility benefits
- Health, dental, vision insurance
- Mental health services
- On-site gyms
- Paid parental leave
- Paid time off
- Telemedicine
- Tuition assistance
- Volunteer opportunities
Skills/Tech-stack
ARIMA | Agent Orchestration | Anomaly Detection | Automated testing | BigQuery | CI/CD | Clustering | Databricks | Deep learning | Docker | Experiment tracking | Explainable AI | Feature Engineering | Governance | LLM | Machine Learning | Model Evaluation | Model Monitoring | Multi-GPU | Prompt engineering | PyTorch | PyTorch distributed | Python | RBAC | SQL | Sequential modeling | Snowflake | TCN | Time Series | Transformers | Version control
Education
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