Senior ML Engineer – Agentic AI
Tasks
- Build integrate and optimize agentic systems
- Collaborate with cross-functional teams and stakeholders
- Design perform and evaluate ML components
- Develop and test evaluation and verification methods for models
- Manage context lifecycle and memory in clinical workflows
Perks/Benefits
- 25 vacation days
- Commute subsidy
- Competitive salary
- Flexible work location
- Learning and development budget
- Pension plan
- Team offsites
Skills/Tech-stack
Autogen | Distributed Computing | Evaluation Frameworks | Git | Knowledge graphs | LLMs | Langchain | Language Models | Machine Learning | Python | Reinforcement Learning | Scalability | Transformers | VLMs | Workflow Orchestration
Education
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