Find a jobRecruiters

DevOps/ MLOps Intern

Exclusive opportunity

Onsite

DevOps/ MLOps Intern

TensorGo

DevOps/ MLOps Intern

Skills

Google Cloud PlatformDockerCassandraKafkaGitLabJenkinsDatadogGrafanaAWSPrometheusGitHubLinuxKubernetesZabbixTerraformAzure

2 months ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


  • Profile
  • The DevOps / MLOps Intern will support the development of scalable infrastructure, deployment pipelines, and cloud-native environments powering TensorGos products.
  • This is a hands-on opportunity to work closely with the engineering team, gaining practical exposure to CI/CD, containerization, cloud deployment, and production operations.
  • This role will be based in Hyderabad, work from office, for a duration of 6 months as an internship, with a potential PPO based on performance.

Requirements:

  • Basic understanding of Linux systems, operations, and shell scripting.
  • Familiarity with Docker, container networking, and cloud deployment concepts.
  • Understanding of CI/CD workflows and application deployment pipelines.
  • Knowledge of monitoring tools such as Prometheus, Grafana, Datadog, Nagios, or Zabbix.
  • Awareness of cloud platforms such as AWS, GCP, Azure, or OCI.
  • Passion for open-source technologies and infrastructure automation.
  • Candidate of B.E / B.Tech in Computer Science, Electronics, Electrical, or any equivalent related discipline (pursuing or completed).

Good to have:

  • Prior project work, coursework or internship exposure in DevOps, MLOps or cloud infrastructure.
  • Familiarity with Kubernetes, Terraform, Jenkins, GitLab, GitHub Actions, or Argo CD.
  • Exposure to open-source tools such as ELK, Kafka, or Cassandra.

Responsibilities:

  • Convert software packages into Dockerfiles and containerized deployment artifacts.
  • Support the implementation and maintenance of CI/CD pipelines and deployment workflows.
  • Assist in monitoring, alerting, and infrastructure health tracking
  • Help manage container-based environments and Kubernetes deployments.
  • Install and troubleshoot open-source components in Docker and Kubernetes environments.
  • Work with the engineering team on infrastructure automation, optimization, and operational improvements.

Other offers great for you!

These companies are also looking for great profiles

Skiils

Machine Learning Engineer / MLOps Senior

Freelance

Paris, France

Hybrid

Skills

LLMs / Large language modelsDockerPythonPyTorchMachine LearningAWSKubernetesMLOpsCI/CD

4 months ago

Quick apply

Mobiskill

Machine Learning Engineer

500

Freelance

Remote

Top Recruiter

Skills

PythonPyTorchMachine LearningAIMachine Learning Engineer

6 days ago

Quick apply

Theodo

Machine Learning Engineer / ML Engineer

480 - 580

Freelance

Paris, France

Hybrid

Skills

AIData Scientist

14 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools