Team Lead - MLOps / AI DevOps (AWS)

Bengaluru, India

At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling 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 
   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 
   Bachelors or masters 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 
Moodys 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 Moodys values: openness, diversity, inclusivity, respect, and a willingness to learn.

Moodys 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 Moodys 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 (opens in new window) on Moodys Compliance Expo page (opens in new window)

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employees tenure with Moodys.