MLOps Architect
3 weeks ago
Job Title: Senior Staff Engineer – MLOps Location: Bangalore, India Work Type: Hybrid (part remote, part onsite) Experience: 11–15 years Employment Type: Full-time Role Overview We are looking for a Senior Staff Engineer – MLOps to design, build, and maintain end-to-end ML pipelines . You will work with Data Scientists, Data Engineers, and DevOps teams to productionize ML models and ensure they run efficiently, securely, and reliably in Azure cloud environments. Key Responsibilities Build and maintain ML pipelines for data preprocessing, model training, testing, and deployment . Collaborate with Data Scientists to productionize ML models in Azure ML and Databricks. Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate infrastructure provisioning with Terraform, ARM Templates, or Bicep . Deploy and monitor ML models using Azure Monitor, Application Insights, Prometheus, Grafana, MLflow . Implement model versioning, experiment tracking, and artifact management . Ensure security, compliance, and cost optimization for deployed ML solutions. Develop alerts and monitoring for model drift, data drift, and performance degradation . Work cross-functionally with Data Engineers, DevOps Engineers, and Data Scientists to streamline ML delivery. Required Skills Programming: Python (mandatory), SQL MLOps / DevOps Tools: MLflow, Azure DevOps, GitHub Actions, Docker, Kubernetes (AKS) Azure Services: Azure ML, Azure Databricks, Azure Data Factory, Azure Storage, Azure Functions, Azure Event Hubs CI/CD: Designing pipelines for ML workflows Infrastructure as Code (IaC): Terraform, ARM Templates, Bicep Data Handling: Azure Data Lake, Blob Storage, Synapse Analytics Monitoring & Logging: Azure Monitor, Prometheus, Grafana, Application Insights ML Lifecycle: Data preprocessing, model training, deployment, monitoring Preferred Skills Deploying ML models on Azure Kubernetes Service (AKS) Knowledge of feature stores and distributed training frameworks Familiarity with RAG (Retrieval-Augmented Generation) pipelines and LLMOps Relevant Azure certifications (AI Engineer, Data Scientist, DevOps Engineer) Other Details Travel: Up to 10% Time Type: Full-time
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Vertex Ai Architect, Gcp Mlops
22 hours ago
Bengaluru, India Nityo Infotech Full time5 hours ago **Job Code**: JD-19693 **JOB DESCRIPTION**: Vertex AI Architect, GCP MLOPs **Experience Required**: 6 - 8 Years **Industry Type**: IT **Employment Type**: Permanent **Location**: India **Roles & Responsibilities**: Vertex AI Architect, GCP MLOPs **Expertise & Qualification**: Btech
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Mlops
3 days ago
Bengaluru, India TransUnion Full timeTransUnion's Job Applicant Privacy Notice **What We'll Bring**: A MLOps Engineer is responsible for the deployment, maintenance, and scaling of machine learning models in production environment. **What You'll Bring**: Key responsibilities: 1. Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP), 2. Build CI/CD pipelines...
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MLOps Engineer
2 weeks ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
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MLOps Engineer
2 weeks ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
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MLOps Engineer
1 week ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
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MLOps Engineer
1 week ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
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Mlops engineer
7 days ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure Dev Ops, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
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Mlops engineer
1 week ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure Dev Ops, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
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MLOps Engineer
1 week ago
Bengaluru, India Capgemini Full timeResponsibilities- Experience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance- Expert in Azure Databricks, Azure ML, Unity Catalog- Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker- Experience in developing standards and practices...
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MLOps Engineer
2 weeks ago
Bengaluru, India Capgemini Full timeResponsibilities- Experience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance- Expert in Azure Databricks, Azure ML, Unity Catalog- Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker- Experience in developing standards and practices...
