Description

Strong Python programming expertise for AI/ML model development, automation, data processing, and solution deployment Deep understanding and hands on experience in Machine Learning(supervised, unsupervised, and reinforcement learning), Deep Learning architectures (CNNs, RNNs, Transformers, and modern neural network frameworks), Natural Language Processing (NLP), text analytics, sentiment analysis, information extraction, and conversational AI, Generative AI concepts( Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Agentic AI) and fine-tuning methodologies. Experience in designing, developing, and optimizing AI solutions using frameworks such as PyTorch, TensorFlow, OpenVINO, Hugging Face, LangChain, Semantic Kernel, or similar platforms. Proficiency in data manipulation, feature engineering, model evaluation, performance tuning, and AI solution optimization. Knowledge of Vector Databases, Embedding Models, Knowledge Graphs, and Semantic Search technologies. Excellent communication and stakeholder management

Key Skills

Education

Bachelor's degree