**Job Summary** As a Sr. Developer you will be instrumental in advancing our machine learning capabilities leveraging AWS Machine Learning and AI&ML concepts. You will work in a hybrid model focusing on developing and deploying scalable solutions using Docker and Kubernetes. Your contributions will drive innovation and enhance our technological impact on society. **Responsibilities** + Develop and implement machine learning models using AWS Machine Learning to enhance product offerings and drive business growth. + Collaborate with cross-functional teams to integrate AI&ML concepts into existing systems ensuring seamless functionality and improved performance. + Utilize Docker and Kubernetes for containerization and orchestration ensuring efficient deployment and scalability of applications. + Apply expertise in Amazon Sagemaker to streamline the machine learning workflow from data preparation to model deployment. + Oversee the use of Terraform for infrastructure as code ensuring reliable and repeatable deployments across environments. + Manage version control using GIT maintaining code integrity and facilitating collaborative development efforts. + Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning and innovation. + Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability in real-world applications. + Implement best practices in ML Ops to automate and optimize machine learning processes enhancing productivity and reducing manual intervention. + Collaborate with stakeholders to understand business needs and translate them into technical requirements driving strategic initiatives. + Stay updated with the latest advancements in artificial intelligence and machine learning applying new techniques to improve existing systems. + Ensure compliance with industry standards and regulations maintaining the highest level of data security and privacy. + Contribute to the companys mission by developing solutions that have a positive impact on society improving efficiency and accessibility. Qualifications + Possess a strong background in ML Ops and AWS Machine Learning with proven experience in deploying scalable solutions. + Demonstrate proficiency in Docker and Kubernetes with a solid understanding of containerization and orchestration. + Have hands-on experience with Amazon Sagemaker capable of managing the entire machine learning lifecycle. + Show expertise in Terraform for infrastructure management ensuring reliable and efficient deployments. + Be skilled in using GIT for version control maintaining code quality and facilitating collaborative development. + Exhibit a deep understanding of AI&ML concepts with the ability to apply them effectively in real-world scenarios. + Display strong problem-solving skills with the ability to translate complex technical requirements into actionable solutions. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.