01 Nov
|
Moody's
|
Bengaluru
Job Type: Full-time
This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.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 prospect 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 applicationsStrong expertise in AWS services and proficiency with infrastructure-as-code toolsSolid familiarity with CI/CD pipelines, containerization, and orchestration technologiesIn-depth knowledge of ML/AI infrastructure and adherence to security best practicesProven track record of managing teams and delivering complex technical projectsExcellent communication, leadership,
and problem-solving skillsDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducation Bachelor’s or master’s degree in computer science, engineering, or a related fieldAWS certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty)ResponsibilitiesThe Team Lead drives secure, scalable, and cost-efficient cloud and ML infrastructure while leading high-performing engineering teams aligned to Moody's strategic AI initiatives.Lead and manage a team of MLOps engineers and cloud system engineers, ensuring alignment with strategic AI initiativesOversee the design and implementation of secure, scalable, and cost-efficient cloud and ML infrastructure on AWSCollaborate with data scientists and engineers to optimize model deployment, monitoring, and lifecycle managementDevelop and enforce best practices for infrastructure provisioning, model deployment,
and security complianceDrive continuous improvement in operational processes, leveraging automation and infrastructure-as-code toolsOptimize the costs of our cloud resources while ensuring the optimal performance of our AI solutionsFoster a culture of teamwork, openness, and innovation within and across teamsMentor and develop team members, promoting professional growth and skill enhancementAbout 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 pagePlease 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.
📌 Team Lead - MLOps / AI DevOps (AWS) (Bengaluru)
🏢 Moody's
📍 Bengaluru