Responsibilities
:
1. Work on deploying machine learning models to edge devices using frameworks such as, ONNX, TVM, MLC LLM, and IREE (MLIR).
2. Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments.
3. Integrate AI features into existing products, enriching them with the latest advancements in machine learning.
4. Excellent programming skills in Python, and a solid understanding of C/C++.
5. Experience with platforms such as, ONNX, TVM, MLC LLM, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures.
6. Experience in NLP, transformers, fine-tuning,puter vision, TensorFlow, PyTorch, JAX and CUDA toolkit.
7. Experience working with LLMs, fine tuning, RAG, transformers is a plus.
8. Demonstrated ability to rapidly assimilate new technologies and techniques.
9. A degree inputer Science, AI, Machine Learning, or a related field,plemented by a solid track record in AI R&D.
Job ID ZnL4RRaWG6Vs