Team Lead - MLOps / AI DevOps (AWS)

Moody's Corporation; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Moody’s Ratings’ AI Analytics group develops advanced machine learning and generative AI solutions on AWS. The successful candidate will guide teams to build robust, scalable, and secure systems, aligning with Moody’s values of openness, diversity, and learning.

This role emphasizes leadership, strategic vision, and hands-on delivery across ML deployments, monitoring, and security, while mentoring engineers and collaborating with data scientists to translate risk insights into action.

Qualifications

• 7+ years deploying and managing large-scale ML and generative AI apps.
• Strong AWS expertise and infrastructure-as-code proficiency.
• Familiar with CI/CD pipelines, containerization, and orchestration tech.
• In-depth ML/AI infrastructure knowledge with security best practices.
• Proven track record leading teams on complex technical projects.
• Excellent communication, leadership and problem-solving skills.

Responsibilities

• Lead and manage a team of MLOps engineers and cloud system engineers.
• Oversee secure, scalable, and cost-efficient cloud and ML infrastructure on AWS.
• Collaborate with data scientists and engineers to optimize deployment and monitoring.
• Develop and enforce best practices for provisioning, deployment, and security.
• Drive continuous improvement through automation and infrastructure as code.
• Optimize cloud costs while maintaining AI solution performance.
• Foster teamwork, openness, and innovation across teams.
• Mentor and develop team members for growth.

Skills

ML/AI deployment

AWS

CI/CD

Infrastructure as code

Team leadership

Communication & problem-solving

Education

Bachelor’s or Master’s in CS/Engineering

AWS Certifications (Saa, Architect, Specialty)

Tools

CI/CD pipelines

Infrastructure-as-code

Containerization/Kubernetes

Job description

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.
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

• 7+ years of experience in deploying and managing large-scale machine learning (ML) and generative AI applications.
• Strong expertise in AWS services and proficiency with infrastructure-as-code tools.
• Solid familiarity with CI/CD pipelines, containerization, and orchestration technologies.
• In-depth knowledge of ML/AI infrastructure and adherence to security best practices.
• Proven track record of managing teams and delivering complex technical projects.
• Excellent communication, leadership, and problem-solving skills.

Education

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• AWS certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty).

Responsibilities

• Lead and manage a team of MLOps engineers and cloud system engineers, ensuring alignment with strategic AI initiatives.
• Oversee the design and implementation of secure, scalable, and cost-efficient cloud and ML infrastructure on AWS.
• Collaborate with data scientists and engineers to optimize model deployment, monitoring, and lifecycle management.
• Develop and enforce best practices for infrastructure provisioning, model deployment, and security compliance.
• Drive continuous improvement in operational processes, leveraging automation and infrastructure-as-code tools.
• Optimize the costs of our cloud resources while ensuring the optimal performance of our AI solutions.
• Foster a culture of teamwork, openness, and innovation within and across teams.
• Mentor and develop team members, promoting professional growth and skill enhancement.

About The Team

Moody’s Ratings’ AI Analytics group develops advanced machine learning (ML) and generative AI solutions for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure solutions on AWS. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn.

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 Securities Trading Policy on Moody’s Compliance Expo page

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.