Description Proven experience developing and deploying ML models in Python. Strong proficiency with AWS Cloud Services, including SageMaker, Bedrock, Lambda, EC2, S3, and API Gateway. Solid understanding of data science techniques: data preprocessing, feature engineering, model training, and evaluation. Requirements Strong problem-solving, analytical, and communication skills. Working knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Job Responsibilities Familiarity with AWS Bedrock for LLM-based and generative AI solutions. Experience using or integrating AWS Q fo...