Senior AI Engineer / Data Scientist (Agentic AI)
Tasks
- Build AI agents for reasoning planning tool usage memory management and orchestration
- Build enterprise AI microservices
- Build recommendation systems and forecasting solutions
- Build semantic search and knowledge retrieval solutions
- Create machine learning models for predictive and prescriptive analytics
- Design AI governance and observability frameworks
- Design LLM orchestration architectures
- Design and develop agentic AI solutions
- Develop AI copilots virtual assistants and autonomous business agents
- Develop AI safety guardrails and responsible AI controls
- Develop RAG architectures for knowledge retrieval
- Develop cloud machine learning solutions on Azure
- Develop scalable AI services and APIs
- Fine tune and optimize LLMs for enterprise use cases
- Implement AI monitoring and model performance tracking
- Implement feature engineering pipelines and model optimization
- Implement multi agent systems for enterprise workflows analytics customer service and decision intelligence
- Implement prompt engineering prompt tuning and evaluation frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI Services | Agentic AI | Azure | Azure AI | Azure AI Search | Azure AI Services | Azure Machine Learning | Azure OpenAI | CI/CD | Data Science | Event Driven | Event-driven architecture | FastAPI | Generative AI | GraphQL | LLM orchestration | Language Models | Large Language Models | MLOps | Machine Learning | Microservices Architecture | Python | RAG | REST APIs | SQL | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Data Scientist | Engineer | Scientist | Senior AI Engineer | Senior Data Scientist
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