Senior Data Scientist
Tasks
- Collaborate with business and technical teams to define innovative solutions
- Continuously track advances in generative AI and machine learning technologies
- Define architectures for large language model based applications RAG and AI agents
- Define prompt engineering model evaluation and fine tuning strategies
- Develop end to end artificial intelligence applications
- Develop scalable training deployment and model monitoring pipelines
- Ensure development best practices safety AI governance and responsible AI
- Lead design and development of generative artificial intelligence and machine learning solutions
- Lead technology innovation initiatives and continuous improvement
- Mentor junior and mid-level data scientists
Perks/Benefits
Skills/Tech-stack
AI Agents | APIs | AWS | Agent Framework | Azure | CI/CD | Cloud platform | Containers | Data Engineering | Deep learning | Embeddings | Fine Tuning | Generative AI | 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 | Retrieval-Augmented Generation | SQL | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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