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ML Ops Engineer- Intern

Smriti Baraily's profile picture
Posted by Smriti Baraily
0 - 1 yrs
₹10000 - ₹15000 / mo
gurugram
Skills
AWS
python
Kubernets
jenkins
apache
CI/CD
VERSION CONTROL

About the job


Job Title: MLOps Engineer Intern

Company: Aaizel International Technologies Pvt. Ltd.

Location: Gurugram, Haryana (On-site)

Duration: 6 Months (PPO based on performance)

About Aaizeltech

Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, cybersecurity solutions, and intelligent embedded systems. We are looking for a passionate MLOps Engineer Intern eager to work on real-world machine learning infrastructure, cloud platforms, and deployment pipelines while collaborating with experienced AI/ML engineers.

Role Overview

As an MLOps Engineer Intern, you will assist in building, deploying, and maintaining machine learning pipelines and cloud infrastructure. You will gain hands-on experience in containerization, Kubernetes, CI/CD automation, model deployment, monitoring, and cloud-native technologies while contributing to production-ready AI solutions.

Key ResponsibilitiesMLOps

  • Assist in building and maintaining end-to-end ML pipelines using tools such as Airflow, Kubeflow Pipelines, or Metaflow.
  • Collaborate with AI/ML engineers to deploy machine learning models using , TensorFlow and Airflow orchestration.
  • Containerize ML applications using Docker with Flask, FastAPI, or Django APIs.
  • Support dataset versioning and experiment tracking using MLflow and DVC.
  • Assist in maintaining model registries and ensuring reproducible ML workflows.
  • Monitor deployed models for performance, data drift, and infrastructure health using tools such as Evidently AI, Prometheus, and Grafana.
  • Support automated retraining workflows and model deployment processes.

Cloud & DevOps

  • Assist in deploying and managing cloud infrastructure on AWS, GCP, or Azure.
  • Support CI/CD pipeline development using GitHub Actions, GitLab CI, or Jenkins.
  • Learn and contribute to Infrastructure as Code (IaC) using Terraform or CloudFormation.
  • Work with Docker and Kubernetes for application deployment and orchestration.
  • Monitor cloud resources and optimize infrastructure performance.
  • Follow DevOps and DevSecOps best practices for secure deployments.

Required Skills

  • Good understanding of Linux, shell scripting, and networking fundamentals.
  • Basic knowledge of Python programming.
  • Familiarity with Docker and Kubernetes.
  • Understanding of Git and CI/CD concepts.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Basic understanding of machine learning workflows and model deployment.
  • Familiarity with REST APIs using Flask, FastAPI, or Django.
  • Strong analytical, debugging, and problem-solving skills.
  • Good communication and willingness to learn new technologies.

Preferred Skills

  • Exposure to MLflow, DVC, Airflow, Kubeflow, or Metaflow, apache kafka.
  • Familiarity with Terraform or other Infrastructure as Code tools.
  • Knowledge of monitoring tools such as Prometheus or Grafana.
  • Understanding of model serving frameworks like BentoML, TorchServe, or TensorFlow Serving.
  • Knowledge of DevSecOps tools like SonarQube is an advantage.

Eligibility

  • Final-year B.Tech/B.E./M.Tech/MCA students or recent graduates in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or related fields.
  • Strong interest in MLOps, Cloud Computing, DevOps, and AI infrastructure.
  • Prior academic projects, internships, or open-source contributions in ML or cloud technologies are a plus.

What You'll Gain

  • Hands-on experience with production-grade MLOps and cloud infrastructure.
  • Opportunity to work on real-world AI/ML products and scalable deployments.
  • Mentorship from experienced AI/ML and DevOps professionals.
  • Exposure to modern MLOps tools, Kubernetes, cloud platforms, and CI/CD workflows.
  • Potential Pre-Placement Offer (PPO) based on performance.

Who You'll Work With

- AI/ML Engineers, Backend Developers, Frontend Developers, QA Team

-Product Owners, Project Managers, and external Government or Enterprise Clients



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About Aaizel International Technologies Pvt Ltd

Founded :
2023
Type :
Product
Size :
20-100
Stage :
Raised funding

About

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Candid answers by the company

What is the location preference of jobs?

Gurugram, Haryana

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