Moody's Analytics
Team Lead - MLOps / AI DevOps (AWS)
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
23 September 2026
What they need
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.
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).
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.
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.
Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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