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AVP-MLOps Engineer
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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.
- 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.
- 7+ years of experience in deploying and managing large-scale machine learning and generative AI applications.
- Experience with Microsoft Azure services.
- 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).
To strengthen our team, we seek an experienced manager to lead and oversee our teams of MLOps and cloud system engineers. This role is crucial in ensuring the seamless integration and operation of our AI and cloud infrastructure.
- 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.
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