Substantial professional experience in data science and machine learning with a strong track record of delivering production-grade solutions; prior experience in IT consulting or professional services is highly valued * Deep proficiency in at least two ML/AI domains (e.g. Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, Recommendation Systems, Generative and Agentic AI) * Demonstrated experience with cloud platforms (AWS, Azure or GCP), production deployment pipelines and related ML/AI frameworks (e.g. Amazon SageMaker, Bedrock, Microsoft Azure Machine Learning, Foundry, Google Vertex AI)
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