Data Science & Advanced Analytics
Tasks
- Automate CI CD and experiment tracking
- Build production grade data science and machine learning capabilities
- Deliver analytics end to end from problem definition to adoption
- Establish MLOps and model lifecycle management best practices
- Implement model governance explainability and monitoring
- Integrate models into enterprise systems using APIs and microservices
- Lead AI and machine learning solution design and deployment
- Mentor analytics and data science teams
- Operationalize models in core business processes
- Translate analytical insights into executive recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache Spark | Azure Machine Learning | CI/CD | Data Governance | Data Privacy | Databricks | Feature Engineering | LLMs | Language Processing | MLOps | MLflow | Machine Learning | Microservices | Model Explainability | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Python | SQL | Scikit-learn | Statistical modeling | TensorFlow | Vector Databases | XGBoost
Education
Roles
AI | AI Engineer | Data Science | Data Science Manager | Engineer | Learning Engineer | Machine Learning Engineer | Manager
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