DevOps Support with MLOPS

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,...

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...

Role & responsibilitiesDevOps tools (Jenkins, Git/Github, Docker) and configuration management (Ansible, Vagrant, Terraform, Chef).More than8 years of experience in MLOps, DevOps or a related field.Bachelors degree in Computer Science, Data Science or a related field.Strong understanding of machine learning principles and model lifecycle...

Job Details:Skills:Solution Analyst- MLOPSExperience: 6+ YearsLocation:PAN INDIAJob type: Contract to HireWork Model: HybridJob Description:-Mandatory skill : MLOps with Azure Databricks DevopsA person who has exposure to Models/MLOps eco-system having exposure to Model Life Cycle Management, with primary responsibility being ability to engage with...

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...

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 :...

Experience Required:** 5-7 years**Job Description:**We are looking for an experienced Devops Engineer to join our team and help streamline and scale our machine learning workflows.The ideal candidate will have 5-7 years of hands-on experience in deploying, monitoring, and maintaining machine learning models in production environments. **Key...

Mandatory Skills       Experience with: Terraform, Docker / Kubernetes, Helm       Experience with DevOps tools like Git, Jenkins etc       Good skills on DevOps and entire CI/CD Process       Proficient in scripting, and Git and Git workflows       Manage VPCs, security groups, and user accounts on the...

Position: DevOps ManagerLocation: India (Remote)Employment Type: Full-TimeSchedule: Monday to Friday, Day Shift Company DescriptionScry AI is a research-led enterprise AI company that builds intelligent platforms to drive efficiency, insight, and compliance. Our platforms Collatio®, Auriga®, and Concentio® streamline complex workflows by automating data...

Position: Senior DevOps Engineer / MLOps Specialist – AI PlatformsLocation: Hyderabad, India (Full-time work from office)Experience Required: 7+ Years (DevOps, Cloud Infrastructure, and MLOps exposurepreferred)Employment Type: Full-TimeRole OverviewWe are seeking a Senior DevOps Engineer to lead DevOps and MLOps initiatives forQMentisAI, QualiZeal's...