Related skills
python tensorflow pytorch c/c++ rag📋 Description
- Own the full lifecycle of agentic AI models
- Collaborate with hardware, software, and product teams
- Prototype with RL and multi-agent paradigms for real-world use
- Iterate for speed, reliability, and embedded hardware integration
- Explore edge and embedded AI for next-gen applications
🎯 Requirements
- Hands-on AI model development for agentic systems (GitHub/papers)
- Experience in autonomous agent modeling, RL, adaptive algorithms, RAG
- Proficiency in Python and C/C++, TensorFlow or PyTorch
- Strong problem-solving and cross-functional communication
- Bonus: optimize AI for hardware with tight resources
- Bonus: launch real-world AI-powered products
🎁 Benefits
- Be at the center of AI innovation in embedded systems
- Collaborate with engineers across automotive, industrial IoT
- Shape the future of smart devices worldwide
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