Data Scientist
Tasks
- Apply best practices for GenAI and agentic AI development
- Build GenAI and agentic AI use cases
- Collaborate with product owners and engineering teams
- Communicate AI concepts to technical and non-technical audiences
- Design develop deploy scalable AI solutions
- Ensure responsible AI compliance
- Influence AI platform and data foundation strategies
- Manage end to end AI model and software development
- Mentor junior data scientists and interns
- Shape digital commercial AI strategy
- Stay current with GenAI and agentic AI best practices
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agentic AI | Agile | Application Programming | Application Programming Interfaces | Artificial Intelligence | Cloud platform | Data Storytelling | Data Visualization | Fuzzy string matching | Generative AI | Google Cloud | Google Cloud Platform | Langchain | Language Processing | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | Orchestration | Pinecone | Programming interfaces | Prompt engineering | Prompting | Python | RAG | Regular Expressions | Retrieval-Augmented Generation | Snowflake | String Matching | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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