5+ years of hands-on AI/ML experience with production deployments Advanced proficiency in traditional machine learning and large language models Proven experience with LLM operations: prompt engineering, fine-tuning, RAG, multi-modal integration Strong MLOps capabilities: ML pipelines, model monitoring, A/B testing, automated retraining Advanced experience with Azure AI Services or AWS SageMaker Expert-level Python Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) Experience with LLM Technologies: OpenAI, Anthropic, Azure OpenAI, Hugging Face, vector databases, embedding strategies Experience with data pipelines, feature stores, and data quality for AI applications Experience with API development, microservices, containerization (Docker/Kubernetes) Strong problem-solving abilities Experience breaking down complex business challenges into AI solutions Proven track record of leading technical client engagements Presenting to executive audiences Strong business acumen Excellent communication skills in English Experience in gathering requirements, solution architecture, and managing technical delivery