AI Infrastructure Lead

12 hours ago


bangalore, India beBeeInfrastructure Full time

About the RoleMoody's is seeking a seasoned AI infrastructure expert to lead our team of MLOps engineers and cloud system engineers. As an experienced technologist, you will be responsible for designing and implementing secure, scalable, and cost-efficient cloud and ML infrastructure on AWS.Key Responsibilities: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.Foster a culture of teamwork, openness, and innovation within and across teams.Mentor and develop team members, promoting professional growth and skill enhancement.Requirements7+ 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.EducationBachelor'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).About UsMoody's Ratings' AI Analytics group develops advanced machine learning (ML) and generative AI solutions for high-profile data science initiatives. We are committed to creating an inclusive environment where everyone feels welcome to be who they are.We Value Diversity and InclusionAt Moody's, we strive to create a workplace that is welcoming and inclusive to all employees, regardless of their background, perspective, or identity. We believe that diversity and inclusion are essential to driving innovation and delivering exceptional results.BenefitsCompetitive compensation and benefits package.Opportunities for professional growth and development.Collaborative and dynamic work environment.



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