AI / ML Engineer

Design, train, and deploy production ML models for enterprise use cases including NLP, computer vision, and recommendation systems. Build end-to-end ML pipelines — data ingestion, feature engineering, model training, evaluation, and deployment on AWS SageMaker / Azure ML / GCP Vertex AI. Develop and maintain model monitoring, A/B testing frameworks, and automated retraining pipelines. Collaborate with data engineers and product teams to translate business requirements into scalable ML solutions. Research and implement state-of-the-art techniques — transformers, diffusion models, reinforcement learning — where applicable