Sr Applied AI Engineer-Finance
Grand Rapids, MI, United States, United States
USD 113K-174K Senior-level Full Time
Tasks
- Automate retraining pipelines
- Build ML models for financial planning
- Collaborate with finance and IT stakeholders
- Deploy AI solutions
- Deploy models to enterprise environments
- Design machine learning models
- Develop LLM powered financial analysis tools
- Educate finance partners on AI usage
- Ensure model reproducibility and rollback
- Ensure security, scalability, and maintainability
- Establish AI practices for finance team
- Implement MLOps model versioning and lifecycle management
- Implement anomaly and risk detection
- Implement model explainability and documentation
- Monitor data quality and concept drift
- Perform back testing and performance evaluation
- Perform forecasting and variance analysis
- Set up drift detection and performance monitoring
- Translate finance requirements into data pipelines
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Backtesting | CI/CD | Classification | Concept drift | Data Pipelines | Data Quality | Embeddings | Explainable AI | Feature Engineering | LLM | MLOps | Machine Learning | Model Monitoring | Model Validation | Model versioning | Pandas | Prompt engineering | PyTorch | Python | Regression | Retrieval-Augmented Generation | SAP | Salesforce | Scikit-learn | Series forecasting | Snowflake | Summarization | TensorFlow | Time Series | Time Series Forecasting
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