Senior DevOps/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...

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...

Company DescriptionBlend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to...

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 SummaryThe DevOps Engineer will be responsible for implementing our AI/ML initiatives across product development and business productivity improvements. This role focus on MLOps, infrastructure, cloud technologies, and Generative AI tools, collaborating across corporate teams and business-specific stakeholders to ensure seamless alignment...

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...

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...

What You'll Do:At Meltwater, our DevOps Engineers play a vital role in building and maintaining robust, scalable, and highly available infrastructures that support our global client baseIn this role, you will design, test, maintain, and operate cutting-edge DevOps architectures that process billions of documents per day through advanced Machine Learning...