Manager, Visa Consulting and Analytics (VCA), Intelligence & Data Solutions (IDS), Data Science
Tasks
- Build reusable model development frameworks
- Build statistical and machine learning models
- Collaborate with engineering teams
- Create prompt engineering workflows
- Design and implement machine learning solutions
- Develop LLM pipelines
- Develop ai agent automation for decision support
- Develop and deploy generative AI solutions
- Develop client solution roadmaps
- Implement retrieval-augmented generation
- Integrate ml and genai components into production
- Lead end-to-end analytics lifecycle
- Mentor junior data scientists
- Monitor models in production
- Perform data wrangling and feature engineering
- Translate analytics into stakeholder recommendations
Perks/Benefits
Skills/Tech-stack
AI Agents | Cloud Computing | Data Visualization | Data Wrangling | Decision Trees | Distributed Computing | Feature Engineering | Fine Tuning | Generative AI | Hadoop | Hive | K-Means | K-Nearest Neighbors | K-means Clustering | K-nearest | Language Models | Large Language Models | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Validation | Nearest neighbors | Neural Networks | NumPy | Pandas | Presto | Prompt engineering | PySpark | Python | Random Forests | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | Tableau | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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