Data Scientist
Tasks
- Build Agentic AI workflows
- Collaborate with product owners and stakeholders
- Communicate AI concepts to technical and non-technical audiences
- Define AI platform and data foundation strategy
- Deploy production ready AI models
- Design scalable AI solutions
- Develop and deploy generative AI solutions
- Document GenAI and agentic AI processes
- Ensure responsible AI compliance
- Maintain GenAI and agentic AI best practices
- Mentor junior data scientists
- Shape digital commercial AI strategy input
- Stay current with GenAI and agentic AI tools
Perks/Benefits
Skills/Tech-stack
AI Lifecycle Management | AI Model Deployment | AI model | APIs | AWS | Agentic AI | Cloud platform | Compliance | End to End | End to End AI Lifecycle Management | End-to-end AI lifecycle | Fuzzy string matching | Generative AI | Google Cloud | Google Cloud Platform | Langchain | Language Processing | Lifecycle Management | Machine Learning | Microsoft Azure | Model Deployment | Natural Language | Natural Language Processing | Orchestration | Pinecone | Prompt engineering | Python | RAG | Regex | Responsible AI | Retrieval-Augmented Generation | Risk Management | Snowflake | String Matching | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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