MLOps Engineer
3 weeks ago
Role OverviewWe are looking for an experienced MLOps Engineer to build and scale our AI infrastructure across Kubernetes, cloud-native environments, and serverless GPU platforms. You will own the end-to-end operational lifecycle of machine learning models—from training to deployment, monitoring, optimization, and automated retraining.Key Roles• Design and implement highly scalable AI/ML infrastructure using Kubernetes, Kubeflow, Ray, and cloud-native services.• Build robust CI/CD and CT (Continuous Training) pipelines for model deployment, inference, monitoring, and automated retraining.• Architect and deploy ML workflows on serverless GPU platforms (AWS, GCP, Yotta, RunPod, Modal, etc.) for cost-efficient, elastic scaling.• Establish automated systems for model drift, data drift, performance monitoring, and lineage tracking.• Promote best practices in reproducible ML, infrastructure-as-code, automation, and internal tooling.Responsibilities• Evaluate, integrate, and optimize MLOps tools (MLflow, Weights & Biases, KServe, Seldon, BentoML, Argo, Airflow, etc.) to streamline AI development.• Develop scalable inference-serving layers—batch, real-time, streaming—using GPU-optimized serving frameworks.• Build observability stacks for GPU utilization, latency, throughput, and model health metrics.• Implement robust systems for model governance, versioning, rollout strategies (blue/green, canary), and automated rollback.• Collaborate closely with ML engineers, data engineers, and product teams to deliver production-ready AI features.Knowledge & Skills Requirements• Strong understanding of ML/DL fundamentals and hands-on experience with model training and optimization.• Expertise in Kubernetes, containerization, Helm, and cloud-native infrastructure.• Experience with serverless GPU architectures and distributed computing frameworks.• Solid knowledge of CI/CD tools (GitHub Actions, GitLab CI, Jenkins), IaC (Terraform), and workflow engines.- • Understanding of drift detection, performance tracking, experiment management, and scalable model deployment patterns. - We Accept International Applicants
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MLOps Engineer
2 weeks ago
New Delhi, India Capgemini Full timeResponsibilitiesExperience 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 for...
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MLOps Engineer
4 weeks ago
New Delhi, India Meril Full timeMLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)We’re looking for a passionate and skilledMLOps Engineerto join our AI & Machine Learning Division atMeril Life Sciences, where innovation meets healthcare. If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems in...
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MLOPs
2 weeks ago
New Delhi, India Meril Full timeJob Title:MLOps Engineer Experience:Minimum 3 Years Location:Chennai Employment Type:Full-time About the Role: We are seeking an experienced MLOps Engineer with a focus on healthcare AI to join our innovative team. This role involves designing, implementing, and maintaining scalable MLOps pipelines for deploying deep learning models, including very deep...
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SRE & MLOps Engineer
3 weeks ago
New Delhi, India apna Full timeAbout Blue Machines Blue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....
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SRE & MLOps Engineer
3 weeks ago
New Delhi, India apna Full timeAbout Blue MachinesBlue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....
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SRE & MLOps Engineer
2 weeks ago
New Delhi, India apna Full timeAbout Blue Machines Blue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....
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SRE & MLOps Engineer
3 days ago
New Delhi, India apna Full timeAbout Blue MachinesBlue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....
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MLOps Engineer — Databricks
2 weeks ago
New Delhi, India Hadron Talent -Hadronfinsys Full timeMLOps Engineer — DatabricksClient:A large global enterprise (name not disclosed) Location:India Work Model:100% Remote Contract:6 months (initial) with possibility of extension Start Date:ASAP Engagement:Full-time / Long-term contractRole Overview We are seeking an experiencedDatabricks MLOps Developerto design, build, and manage scalable machine learning...
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MLOps Engineer — Databricks
2 weeks ago
New Delhi, India Hadron Talent -Hadronfinsys Full timeMLOps Engineer — DatabricksClient:A large global enterprise (name not disclosed) Location:India Work Model:100% Remote Contract:6 months (initial) with possibility of extension Start Date:ASAP Engagement:Full-time / Long-term contractRole Overview We are seeking an experiencedDatabricks MLOps Developerto design, build, and manage scalable machine learning...
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MLOps Engineer
1 week ago
Delhi, Delhi, India Evoort Solutions Full timeWe are seeking a highly skilled MLOps Engineer with experience in Healthcare domain to join our teamThe Engineer will be responsible for ensuring the accuracy, performance, and stability of ML models- This role includes continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes- Key Responsibilities...
