Data Science & Advanced Analytics
Tasks
- Automate CI CD and experiment tracking
- Build production grade machine learning models
- Deliver end to end analytics from problem definition
- Deploy and monitor models
- Develop feature engineering pipelines
- Ensure regulatory compliance for model risk
- Implement MLOps and model lifecycle management
- Integrate models into enterprise systems via APIs
- Lead AI and machine learning solutions
- Mentor analytics and data science teams
- Operationalize analytics in business workflows
- Perform model governance and validation
- Provide executive level analytical recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache Spark | Azure | Azure ML | CI/CD | Data Governance | Databricks | Explainability | Feature Engineering | LLM | Language Processing | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Model Risk Management | Model risk | NLP | Natural Language | Natural Language Processing | Predictive Analytics | Privacy | PyTorch | Python | Risk Management | SQL | Scikit-learn | Statistical modeling | TensorFlow | Vector Search | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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