MLops Engineer

Role –MLOps EngineerJob Purpose:The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable, reliable, and cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline...

Title: MLOPS EngineerExperience: 6 to 12 yearsJob Location: HyderabadInterview Date: 6th September 2025 at HyderabadMode of Interview: In-Person (Scheduled)Note: This is a scheduled interview process. Candidates will be invited based on shortlisting and prior appointment. Kindly note that this is not a walk-in interview.Job Summary:We are seeking a skilled...

MLOps EngineerLocation: Hyderabad & ChennaiWorkplace Type: HybridAbout the RoleWe are seeking a highly skilled and motivated MLOps Engineer to join our growing data science team. In this role, you will be responsible for building, deploying, and maintaining machine learning models in production using Google Cloud Platform (GCP). You will work closely with...

Role : MLOps EngineerLocation - BangaloreMode of Interview - In PersonDate - Scheduled InterviewKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment...

Role : MLOps EngineerLocation - HyderabadMode of Interview - In PersonDate - Scheduled InterviewKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment...

Role : MLOps EngineerLocation - ChennaiMode of Interview - In PersonDate - Scheduled InterviewKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment...

OverviewSenior engineer with deep expertise in designing, automating, and scaling machine learning infrastructure. Provides mentorship to junior engineers and ensures operational excellence.ResponsibilitiesLead design of scalable MLOps frameworks and automation strategies.Optimize monitoring and alerting systems for drift, accuracy, and latency.Maintain...

This role is for one of Weekday's clientsMin Experience: 5 yearsLocation: HyderabadJobType: full-timeRequirementsAtTechsophy, we are driving transformation for global enterprises with cutting-edge AI and automation. We are seeking anMLOps Engineer (with 5+ years of experience)who can bridge the gap betweenMachine Learning and DevOps,building scalable ML...

The MLOps Observability Engineer will design, implement, and maintain the comprehensive monitoring, logging, and tracing solutions for our entire ML platform and production models. This includes building automated systems to detect model decay, data drift, and infrastructure performance issues, ensuring that our AI/ML applications are reliable, scalable, and...

OverviewProficient MLOps engineer capable of independently managing production model deployments, pipelines, and infrastructure operations.Responsibilities:Deploy and maintain ML models in production using technologies like AWS SageMaker, MLflow, or Kubeflow.Manage pipelines and CI/CD workflows using tools like ArgoCD, Terraform, or similar...