At Moody s we unite the brightest minds to turn today s risks into tomorrow s opportunities We do this by striving to create an inclusive environment where everyone feels welcome to be who they are with the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways Moody s is transforming how the world sees risk As a global leader in ratings and integrated risk assessment we re advancing AI to move from insight to action enabling intelligence that not only understands complexity but responds to it We decode risk to unlock opportunity helping our clients navigate uncertainty with clarity speed and confidence If you are excited about this opportunity but do not meet every single requirement please apply You still may be a great fit for this role or other open roles We are seeking candidates who model our values invest in every relationship lead with curiosity champion diverse perspectives turn inputs into actions and uphold trust through integrity Skills and Competencies Solid expertise in core Amazon Web Services AWS services including EC2 VPC IAM S3 and CloudFormation to architect and maintain secure and scalable cloud infrastructure Proficiency in Linux system administration and scripting using languages such as Python or Bash Demonstrated experience with Infrastructure-as-Code tools particularly Terraform or AWS CloudFormation and soild understanding of networking principles cloud security best practices and high-availability architectures Exhibits a strong work ethic effective teamwork clear communication and excellent problem-solving skills with a willingness to work flexible hours to collaborate with international teams Preferred qualifications include AWS certifications e g AWS Certified Solutions Architect - Professional experience with Microsoft Azure and familiarity with CI CD pipelines Desired experience with containerization and orchestration e g Docker Kubernetes and exposure to ML AI infrastructure requirements Education Bachelor s or master s degree in computer science engineering or a related field 3-4 years of experience in a cloud systems engineering or architecture role Responsibilities Lead the design implementation and maintenance of our AWS-based cloud architecture ensuring the scalability security and reliability of our AI platforms Architect and maintain secure scalable and cost-efficient cloud infrastructure on AWS Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools like Terraform and AWS CDK Implement and manage monitoring logging and alerting for cloud resources using tools such as AWS CloudWatch Manage system performance availability and disaster recovery strategies to ensure platform reliability Collaborate with data scientists data engineers and MLOps engineers to support machine learning ML and Generative AI GenAI workloads ensuring optimal resource allocation Ensure compliance with security best practices including identity management encryption and network security Troubleshoot and resolve complex system-level issues across cloud environments About the team Our AI Analytics team is responsible for developing advanced machine learning and generative AI solutions for high-profile data science initiatives Our department contributes to Moody s by delivering robust cloud solutions that power our AI initiatives ensuring the scalability and reliability of our data platforms and enabling collaboration between data scientists and engineers to drive innovation By joining our team you will be part of exciting work in building and managing the cloud infrastructure that supports cutting-edge AI and machine learning project Moody s is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law Candidates for Moody s Corporation may be asked to disclose securities holdings pursuant to Moody s Policy for Securities Trading and the requirements of the position Employment is contingent upon compliance with the Policy including remediation of positions in those holdings as necessary For more information on the Securities Trading Program please refer to the STP Quick Reference guide on ComplianceNet Please note STP categories are assigned by the hiring teams and are subject to change over the course of an employee s tenure with Moody s

📌 Sr Machine Learning Engineer (Karnataka)
🏢 Important Business
📍 Karnataka