Senior MLOps Engineer

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...

Seeking an MLOps Engineer to design, deploy, and monitor ML systems. You'll ensure models are reliable, scalable, and easy to manage, while building tools that support teams and improve workflows. Required Candidate profileLooking for 3+ yrs exp in DevOps/MLOps/ML/Data Eng, strong Python, Git, CI/CD, Docker, K8s, cloud (AWS/GCP/Azure).Plus MLflow, Kubeflow,...

Description : MLOps Engineer.Industry & Sector : Enterprise software and AI services delivering production-grade machine learning solutions, model lifecycle automation, and cloud-native data engineering for commercial clients. We build scalable, secure ML platforms that power analytics, recommendation, and prediction services.Location & Work Type :...

About us:Where elite tech talent meets world-class opportunitiesAt Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources...

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...

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...

Role: MLOps EngineerLocation: HyderabadExperience: 3 to 5 yearsJob details:ML pipeline creation, drift monitoring and controlAutomating CI/CD pipelines to account for data, code, and model changesDevelop and deploy CI/CD-based automated ML application pipelines (collection, processing, cleaning, transformation, etc.) along with the CT component for a...

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...

Position: Senior Python Developer with MLOps platformLocation: Hyderabad, India (Need to work from Experian- Hyderabad office at least 2 to 3 days in a week from day one)No of Open Positions: 1Experience:6+ YearsSummaryDesign & build backend components of MLOps platform on AWS.Collaborate with geographically distributed cross-functional teams.Participate in...

Position 1: MLOps Engineer II (Mid-Level)Location: Remote (Night Shift 10 PM to 7 AM CST)Contract: 12 months (Renewable)Start Date: December 1, 2025Role OverviewWe are seeking a proficient MLOps Engineer (Level II) with 2–4 years of experience in ML operations, pipelines, and production deployments. The ideal candidate will be hands-on, detail-oriented,...