Principal Applied AI Engineer, Finance
Virtual Office (Massachusetts), United States
R
USD 225K-396K Senior-level Full Time
Tasks
- Architect agentic AI systems
- Build multi-agent LLM systems
- Build scalable AI ML services and APIs
- Create feature engineering strategies
- Define evaluation metrics and validation frameworks
- Deploy production AI systems
- Develop customer churn prediction models
- Develop time-series forecasting models
- Ensure security, compliance, and auditability
- Establish responsible AI guardrails
- Implement MLOps deployment monitoring retraining
- Integrate AI services into internal applications
- Lead AI technical direction across the organization
- Mentor data specialists and engineers
- Monitor model performance and drift
Perks/Benefits
- 401k matching program
- Adoption Assistance
- Development and career growth opportunities
- Fertility treatments
- Flexible work schedules
- Medical, dental, and vision insurance
- Open time off
- Paid Holidays
- Telehealth Coverage
- Work-from-home opportunities
Skills/Tech-stack
API Development | AWS | Bias Mitigation | CI/CD | Churn Prediction | Cloud Computing | Compliance | Deep learning | Distributed Systems | Docker | Experiment tracking | Feature Engineering | Fine Tuning | Generative AI | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Governance | Model Monitoring | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SOX | Semantic Search | Series forecasting | Testing | Time Series | Time Series Forecasting | Vector Databases
Education
N/A
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