Seeking experienced AI/ML Lead with robust background in machine learning, focusing on AWS SageMaker, AWS Bedrock, and generative AI solutions.Main Responsibilities:Lead design, development, and deployment of machine learning models and algorithms to solve complex business problems.Oversee end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.Utilize AWS SageMaker to build, train, and deploy machine learning models.Leverage AWS Bedrock to develop robust and scalable generative AI solutions for various applications.Develop and implement generative AI solutions to enhance business processes and customer experiences.Implement MLOps practices, including model monitoring, and automation of the training and deployment pipeline.Collaborate with cross-functional teams to integrate ML models into production environments and applications.Requirements:Minimum 7 years of hands-on experience in machine learning and data science roles.Extensive expertise in AWS services such as SageMaker, AWS Bedrock, and other AI/ML tools.Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-Learn.Experience with MLOps practices, including model monitoring, deployment automation, and CI/CD pipelines.Demonstrated ability to design and implement scalable and efficient machine learning architectures in cloud environments.Deep understanding of data engineering, feature engineering, and data preprocessing techniques.What We Offer:$4000 USD monthly salary.Full-time remote work flexibility.Opportunity for professional growth.
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