At least 3 yearsof experience developing and deployingAI / machine learning solutions.
Demonstrated experiencedeploying AI systems into production environments.
Strong proficiency inPythonfor AI and machine learning development
Hands-on experience withML frameworks and librariessuch asPyTorch, TensorFlow, and scikit-learn.
Experience withNLP and document-centric AI, including OCR and documentprocessing, Document classification and entity extraction, Text summarization
Solid experience withdata preprocessing, feature engineering, and analysisusing tools such as: Pandas, NumPy, Matplotlib, Seaborn
Experience working withcloud-based AI platforms, preferablyMicrosoft Azureor AWS
Familiary with buildingLLM-based solutions: Chatbots and conversational AI, Prompt engineering and evaluation, Retrieval-Augmented Generation (RAG), Intelligent or semantic search
Exposure toMLOps practices, including CI/CD pipelines for ML models, Model versioning, deployment automation, and monitoring.
Familiarity withREST API developmentand integrating AI capabilities into backend systems.
Experience contributing toshared AI components, development standards, or reference architectures.