Senior DevOps/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...

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...

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,...

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

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...

Key ResponsibilitiesDesign, implement, and maintain scalable and secure cloud infrastructure to support AI/ML model training and deployment.Automate the provisioning, deployment, monitoring, and management of infrastructure and services.Build and maintain CI/CD pipelines for both traditional software and machine learning models (MLOps).Implement...

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,...