MLOps Engineer

- ExternalRole : MLOps EngineerLocation : CoimbatoreMode of Interview - In Person - Coimbatore Data - 11th Oct 2025 (Saturday)Responsibilities:Model Deployment, Model Monitoring, Model RetrainingDeployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipelineDrift Detection, Data Drift, Model DriftExperiment TrackingMLOps ArchitectureREST...

Job DescriptionWe are looking for an experienced MLOps Engineer to join our team.The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models.This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.Key...

Job Title: MLOps Engineer Experience: Minimum 3 Years Location: Chennai Employment Type: Full-time About the Role: We are seeking an experienced MLOps Engineer with a focus on healthcare AI to join our innovative team. This role involves designing, implementing, and maintaining scalable MLOps pipelines for deploying deep learning models, including very deep...

Position:MLOps Engineer (4–8 years)Location:Bangalore / Gurgaon with Hybrid SetupWe are looking for an experienced MLOps Engineer with strong foundations in DevOps practices and hands-on expertise in Azure cloud services. The ideal candidate will design, automate, and optimize ML model development and deployment pipelines, ensuring scalability,...

Role Overview We are looking for an experienced MLOps Engineer to build and scale our AI infrastructure across Kubernetes, cloud-native environments, and serverless GPU platforms. You will own the end-to-end operational lifecycle of machine learning models—from training to deployment, monitoring, optimization, and automated retraining. Key Roles • Design...

Role: MLOps Engineer Required Experience: 3 - 5 years Job Location: : Gurugram Job Description: Must Have Skills: Cloud development (Capable),ML Ops - MLE Key Responsibilities: Collaborating with data scientists to understand model requirements, gather data, and refine models. Responsible for the lifecycle of models, once deployed in production environments,...

Title and SummaryMLOps Engineering DirectorThe Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship productThe models generated are production ready and created to back specific products in Mastercards authentication and authorization networksThe Data Science team...

Role:MLOps EngineerRequired Experience:3 - 5 yearsJob Location::GurugramJob Description:Must Have Skills:Cloud development (Capable),ML Ops - MLEKey Responsibilities:Collaborating with data scientists to understand model requirements, gather data, and refine models.Responsible for the lifecycle of models, once deployed in production environments, through...

Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships...

Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships...