AI Engineer- Decision Science
Tasks
- Build automated decisioning frameworks
- Build documentation generation and knowledge retrieval tools
- Conduct model performance analysis
- Create scalable data pipelines
- Design and deploy AI ML decision science solutions
- Design and implement agentic AI workflows with LLMs
- Develop fraud detection and anomaly detection models
- Develop risk scoring and early warning systems
- Develop sentiment analytics and behavioral models
- Ensure governance security explainability and responsible AI standards
- Integrate AI solutions into enterprise workflows
- Maintain model documentation and audit readiness
- Perform exploratory data analysis and feature engineering
- Provide technical consulting to risk and business stakeholders
- Support Model Risk Management validation
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Anomaly Detection | Apache Spark | Artificial Intelligence | Azure | Cloud Computing | Data Analysis | Data Lineage | Data Pipelines | Data Visualization | Databricks | Deep learning | Experimentation | Exploratory Data Analysis | Feature Engineering | Fraud Detection | GCP | Gradient boosting | Knowledge Retrieval | LLM orchestration | Language Models | Language Processing | Large Language Models | Machine Learning | Model Governance | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Power BI | Prompt engineering | Python | Risk Management | Risk scoring | SAS | SQL | Sentiment Analysis | Tableau
Education
Master of Data Science | Master of Engineering | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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