MLOps Engineer II

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...

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 :...

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...

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...

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...

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,...

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, 2025 Role OverviewWe are seeking aproficient MLOps Engineer (Level II)with 2–4 years of experience inML operations, pipelines, and production deployments. The ideal candidate will be hands-on, detail-oriented,...

Role & responsibilitiesEssential DutiesInclude, but are not limited to, the following:Own productionizing modelsfrom tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.Build automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and...