Senior Data Scientist
Tasks
- Collaborate with cross-functional teams
- Define AI application architectures
- Define model evaluation approaches
- Define prompt engineering approaches
- Design and develop artificial intelligence solutions
- Design and develop generative AI solutions
- Design and develop machine learning solutions
- Develop end-to-end AI applications
- Ensure AI development best practices
- Ensure AI security and governance
- Implement model fine-tuning
- Implement scalable AI pipelines
- Mentor junior data scientists
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | Agent Framework | Azure | CI/CD | Cloud platform | Data Engineering | Deep learning | Docker | Embeddings | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Agent | Microsoft Agent Framework | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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