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Agivant Technologies
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MLOps Engineer

MLOps Engineer

Agivant Technologies

3 - 8 years

5 - 10 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

github scalability gcp machine learning shell scripting infrastructure jenkins performance monitoring monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

":"

About the Role

We are seeking a highly skilled MLOps Engineer to design, implement, andmanage the infrastructure, deployment, and monitoring pipelines for machinelearning systems. You will ensure the scalability, reliability, and performanceof AI workflows while enabling smooth collaboration between data science andengineering teams.

Key Responsibilities

Infrastructure Deployment : Implement automated ML deployment pipelines with tools such as Kubernetes, Docker, MLflow, Kubeflow, and Azure ML.

CI/CD Pipelines : Build and maintain CI/CD systems using Jenkins, GitHub Actions, or GitLab CI.

Performance Monitoring : Monitor model performance, latency, and drift; implement alerts and dashboards.

Scalability Reliability : Design infrastructure that supports dev, staging, and production environments.

Observability : Deploy observability tools (Prometheus, Grafana, ELK Stack, Azure Monitor) for real-time system insights.

Vector Database Infrastructure : Manage environments for Pinecone, Weaviate, or Milvus to support AI-driven applications.

Requirements
Required Qualifications

3+ years in DevOps/Infrastructure and 2+ years in MLOps .

Experience with ML lifecycle tools : MLflow, Kubeflow, Azure ML.

Strong knowledge of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).

Proficiency in Python, Bash/Shell scripting, and YAML .

Expertise in Docker, Kubernetes, Helm .

Hands-on with Infrastructure as Code (Terraform, Ansible, CloudFormation) .

Cloud expertise (AWS, GCP, or AzureAzure ML preferred).

Familiarity with monitoring stacks (Prometheus, Grafana, ELK).

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MLOps Engineer