Expert Data Scientist
Tasks
- Build and operationalize LLM based solutions
- Build reusable AI frameworks accelerators and best practices
- Deploy and manage AIOps MLOps and model monitoring
- Design train evaluate and deploy predictive and generative AI models
- Develop AI agents and copilots
- Develop retrieval-augmented generation pipelines
- Implement model governance and lifecycle management
- Lead machine learning development and deployment
- Mentor junior data scientists
- Translate business priorities into AI solutions and drive adoption
Perks/Benefits
Skills/Tech-stack
AI Agents | AIOps | AWS | Autonomous decision-making | Azure | Cloud Computing | Copilots | Data Warehousing | Decision Making | Explainability | Fairness | GCP | Generative AI | Hadoop | Knowledge graphs | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Multimodal AI | NoSQL | Python | Ray | Responsible AI | Retrieval-Augmented Generation | Risk Management | SQL | Scikit-learn | Spark | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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