Senior AI Engineer

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

Architect enterprise-scale AI solutions Lead complex multi-model AI implementations Conduct client workshops Present technical concepts to executive audiences Manage client relationships Design and implement sophisticated AI systems Build production-ready AI applications Optimize model performance and costs Implement enterprise MLOps pipelines Research and evaluate emerging AI technologies Collaborate with the AI team Define AI best practices and standards Mentor junior AI engineers Lead cross-functional AI transformation projects