Machine Learning Engineer (AI Systems)

- Design and implement classic ML models (XGBoost, SVMs, clustering, etc.) for structured data use cases. - Build and optimize deep learning pipelines using PyTorch/TensorFlow, with a focus on NLP and multimodal tasks. - Develop modern AI systems, including RAG-based applications leveraging LangChain, LlamaIndex, and vector databases (FAISS, Weaviate).