Staff AI/ML Scientist
Tasks
- Adapt generative AI frameworks
- Benchmark AI ML models
- Build and maintain AI/ML models
- Collaborate cross functionally to deliver AI products
- Design multi turn state aware conversational systems
- Develop multi-agent orchestration systems
- Evaluate customer needs and recommend solutions
- Lead AI initiatives for conversational AI adoption
- Mentor junior team members
- Monitor AI technology trends
- Test conversational agents
Perks/Benefits
- Dental benefits
- Flexible working hours
- Learning and development
- Life and accident insurance
- Meals and transportation vouchers
- Paid employee volunteer day
- Paid moving day
- Paid time off for community service day
- Paid time off for personal day
- Private health insurance
- Professional mental health support
- Remote work from abroad policy
- Wellness allowance
Skills/Tech-stack
Agent systems | Agentic AI | Autogen | Azure | Azure Data | Azure Data Factory | Azure Machine Learning | Data Factory | Databricks | LLM Reasoning | Langgraph | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-turn conversation | Natural Language | Natural Language Processing | Plan and Solve | Python | React | State machines
Education
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