Machine Learning Engineer (AI Systems)

Role & Responsibilities 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). Architect and experiment with agentic AI systems featuring tool usage, memory, planning, and self-reflection (CrewAI, LangGra…