MLOps Engineer

Company Description Blend 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...

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...

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...

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...

Join Us as MLOps Architect  Are you ready to make a significant impact in an innovative environment? At ORBCOMM, we are looking for a skilled MLOps Architect to design and implement the technology architecture that enables deployment, scaling, and management of Generative AI and machine learning models. In this role, you'll accelerate the journey from...

Job purpose :Design, develop, and manage scalable MLOps pipelines for building, training, and deploying predictive and generative LLM models on cloud infrastructure. The role supports automation, monitoring, and optimization of AI workflows across research, clinical, and commercial initiatives to enable data-driven decision-making and operational...

Position: System Engineer – PaymentExperience: 6–9+ YearsLocation: Hyderabad | BangaloreEmployment Type: ContractWork Mode: HybridNotice Period: 0–15 DaysJob Description:We are hiring an experienced System Engineer (Payment Domain) to join our team. The ideal candidate will have strong hands-on experience in ACI payment systems, infrastructure...

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...

Role & responsibilitiesML ENGINEER - Production MLOps & Model DeploymentPreferred candidate profileML ENGINEER - Production MLOps & Model DeploymentPosition Title: ML Engineer - Vertex AI Pipeline SpecialistPosition Summary: The ML Engineer will operationalize Clients predictive models through robust MLOps pipelines on GCP Vertex AI. This role focuses on...