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
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• 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.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.