MLOPS

Description : Position Title : ML Ops Engineer 4.Complete onsite.Full-Time role.Shift Timings : Regular.Address : Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.Job Description : Roles & Responsibilities : - Define the long-term vision and strategy for MLOps initiatives : Set the direction for the organizations MLOps,...

Job Title: MLOPS+ Databricks/Snowfalks Location: Pan IndiaExperience: 3– 12Years (STRICTLY)Employment Type: PermanentNotice Period: Immediate Joiners OnlyAbout the CompanyOur client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and...

Build and maintain ML pipelines for training, validation, deployment, and monitoring Implement CI/CD for ML artifacts, including data versioning and model registries Monitor model performance and drift; trigger retraining workflows as needed Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services Collaborate with data, ML, and...

Build and maintain ML pipelines for training, validation, deployment, and monitoring Implement CI/CD for ML artifacts, including data versioning and model registries Monitor model performance and drift; trigger retraining workflows as needed Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services Collaborate with data, ML, and...

Role: MLOps EngineerLocation: HyderabadExperience: 3 to 5 yearsJob details:ML pipeline creation, drift monitoring and controlAutomating CI/CD pipelines to

Role: MLOps EngineerLocation: HyderabadExperience: 3 to 5 yearsJob details:- ML pipeline creation, drift monitoring and control- Automating CI/CD pipelines to

Role: MLOps Engineer Location: Hyderabad Experience: 3 to 5 years Job details: ML pipeline creation, drift monitoring and control Automating CI/CD pipelines to

Design, implement, and manage scalable MLOps workflows using Kubeflow. - Build and optimize CI/CD pipelines for ML model training, testing, deployment, and monitoring. - Leverage Snowflake as a central data platform for ML data storage, processing, and integration. - Develop, test, and maintain machine learning models and scripts using Python and popular ML...

Role & responsibilitiesDesign and implement MLOps pipelines using Kubeflow and KServe for model deployment and servingDeploy and manage production ML models on Kubernetes with NVIDIA GPU accelerationOptimize model inference using vLLM, TensorRT-LLM, Triton Inference Server, and PyTorch DynamoImplement auto-scaling using KEDA, HPA, and Azure Cluster...

Job Description Inviting applications for the role of Principal Consultant, Lead MLOps Engineer In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design...