Machine learning lead

Job Description:

Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the 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. ● Provide technical leadership and mentorship to a team of data scientists and machine learning engineers. ● Communicate complex machine learning concepts and insights to non-technical stakeholders. ● Ensure the integrity and quality of data throughout the machine learning pipeline. ● Stay current with the latest advancements in machine learning, AI, and AWS technologies to continuously improve capabilities. ● SQL analytics integrated with generative AI solutions to deliver refined, data-driven insights for informed decision-making and data integrity