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MLOps Engineer
MLOps EngineerEROS GenAI • hosur, tamil nadu, in
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MLOps Engineer

MLOps Engineer

EROS GenAI • hosur, tamil nadu, in
8 hours ago
Job description

Role Overview

We 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 • hosur, tamil nadu, in