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Sparshcorp
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MLOPS Engineer

MLOPS Engineer

Sparshcorp

5 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 day ago| Platform:

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Skills Required

design ai deployment aws ml model data devops automate training scalability code terraform compliance security governance resolve collaboration jenkins github gitlab sagemaker containerization orchestration mlflow scripting automation python git monitoring logging

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title

Experience

Work Location

Employment Type

Job Summary

MLOps Engineer

Key Responsibilities

Design and implement robust infrastructure for AI/ML platforms.
Develop and maintain CI/CD pipelines for ML model deployment and monitoring.
Work closely with data scientists, developers, and DevOps teams to automate model training, validation, and deployment workflows.
Monitor performance, scalability, and availability of ML services in production.
Manage infrastructure as code (IaC) using tools like Terraform or CloudFormation.
Ensure compliance with security and governance policies in cloud environments.
Troubleshoot and resolve production issues in collaboration with relevant teams.

Technical Skills & Requirements

3.5 – 5 years of experience in MLOps, DevOps, or related roles.
Strong hands-on experience in designing and implementing MLOps infrastructure.
Expertise in building CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI/CD.
Solid experience with
AWS Cloud services
such as S3, SageMaker, Lambda, EC2, EKS/ECS, CloudWatch, etc.
Knowledge of containerization and orchestration tools such as
Docker
and
Kubernetes
.
Familiarity with ML lifecycle tools like MLflow, Kubeflow, or similar.
Proficient in scripting and automation using Python, Bash, or similar.
Experience with version control systems (e.g., Git) and infrastructure as code (IaC).
Good understanding of monitoring, logging, and alerting in production environments.

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