AI Infrastructure Lead
12 hours ago
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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AI Infrastructure Lead
7 days ago
bangalore, India beBeeCloud Full timeJob DescriptionWe are seeking a senior-level professional to lead our Machine Learning Operations (MLOps) and AI DevOps team.This role is crucial in driving our mission to decode risk and unlock opportunity.Lead a team of MLOps engineers and cloud system engineers, ensuring alignment with strategic AI initiatives and promoting innovation within the...
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Lead AI Infrastructure Engineer
3 days ago
bangalore, India Norwin Technologies Full timeTitle: Senior AI Platform & Infrastructure EngineerLocation: BangaloreExperience: 8+ YearsWork Mode: HybridJob Description:Were looking for an experienced Infrastructure Engineer with a strong background in Kubernetes (K8s), GPU-based workloads, and scaling large distributed systems. We need builders, not just maintainers. Ideal candidates will have hands-on...
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AI Infrastructure Engineer
2 weeks ago
bangalore, India beBeeInfrastructure Full timeScalable AI Infrastructure Engineer JobWe are seeking a highly skilled Scalable AI Infrastructure Engineer to join our team. The ideal candidate will have expertise in designing and operationalizing AI infrastructure for deploying and scaling Large Language Model (LLM) solutions in a telecom ecosystem.Key Responsibilities:Architect and manage Continuous...
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AI Backend Infrastructure Engineer
2 weeks ago
bangalore, India beBeeBackend Full timeJob SummaryWe are seeking a skilled backend engineer to lead the development of our real-time AI-driven hiring platform. As a critical member of our team, you will be responsible for architecting, owning, and evolving the backend systems that power our innovative solution.With a strong background in Java and Spring Boot, you will drive system design for...
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AI Infrastructure Specialist
2 weeks ago
bangalore, India beBeeDevops Full timeAI DevOps EngineerAbout the Role:We are seeking a skilled AI DevOps Engineer to join our team. As a key member of our infrastructure team, you will be responsible for designing, building, and maintaining hybrid AI environments.Key Responsibilities:Build and maintain scalable hybrid AI infrastructure using Terraform, Helm, or CloudFormation.Automate...
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AI Infrastructure Developer
5 days ago
bangalore, India beBeeEngineer Full timeUnlock AI Potential: Join the MovementAbout the RoleA key player in the field of sustainable infrastructure, we specialize in eco-efficient data centers powered by hydroelectric energy.Our innovative approach enables global AI innovation with scalable and energy-efficient solutions tailored to diverse client needs. We're dedicated to environmental...
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AI Infrastructure Leadership Position
5 days ago
bangalore, India beBeeInfrastructure Full time**Senior AI Platform Engineer Role Summary:**We are looking for an experienced professional to lead the design, build, and optimization of our infrastructure. This will involve developing backend systems to support large-scale, GPU-accelerated workloads.Key Responsibilities:Design and develop scalable, cloud-based infrastructure using...
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AI Infrastructure Specialist
2 weeks ago
bangalore, India beBeeCloud Full timeJob Title: AI Support Engineer | Experience: 3-5 YearsAbout the Role:We are seeking a proactive and skilled professional to join our team, supporting cutting-edge AI-based solutions. This role is vital in ensuring the reliability, performance, and scalability of our AI platforms and services.Main Responsibilities:Provide technical support for AI platforms,...
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AI DevOps
2 weeks ago
bangalore, India EPMA Full timeEPMA is looking for an AI DevOps & Infrastructure Engineer for in-house project.Title: AI DevOps & Infrastructure EngineerLocation: 100% RemoteResponsibilities:Build and maintain hybrid AI environments (AWS + on-prem DGX)Automate infrastructure provisioning with Terraform, Helm, or CloudFormationManage Kubernetes clusters, namespaces, and workload...
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AI Security Lead
3 weeks ago
bangalore, India Delphi Consulting Middle East Full timeJoin Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall...