Binance Accelerator Program - LLM Recommendation & Agentic AI Engineer
Tasks
- Build agentic AI systems
- Build training and evaluation datasets
- Collaborate on system design experimentation and deployment
- Create evaluation benchmarks and pipelines
- Design LLM recommendation systems
- Develop tool routing and retrieval
- Explore small language models for latency sensitive tasks
- Implement multi step reasoning mechanisms
- Integrate prototypes into production systems
- Perform large language model post training
- Prototype LLM agent workflows
Perks/Benefits
Skills/Tech-stack
Agent systems | Deep learning | Embeddings | Fine Tuning | Function Calling | Information Retrieval | Language Models | Language Processing | Large Language Models | Learning-to-Rank | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Personalization | Planning | Preference optimization | Prompt engineering | PyTorch | Python | RAG | Ranking | Recommendation Systems | Reinforcement Learning | Reranking | Retrieval-Augmented Generation | Structured generation | Supervised Fine Tuning | Tool Routing | Tool use | User Modeling
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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