Machine Learning Architect (AWS)

Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning Minimum 5+ years of experience architecting and building Machine Learning solutions Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure) Experience building ML models and strong knowledge of ML techniques Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs Strong coding experience in Python and architectural patterns like microservices Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment Strong problem-solving skills and the ability to lead a team Excellent communication and presentation skills

Design machine learning solutions and execute projects end to end from proof-of-concept stage to deployment in production Work directly with business representatives/customers to understand requirements Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs Stay abreast of the latest developments in machine learning research and adapt models to solve customer’s problems Develop strong relationships with customers