MLOps Engineer - Intern

Join a deep-tech company building AI/ML-powered platforms and intelligent systems. This internship offers a unique opportunity to lead the architecture, deployment, and scaling of ML infrastructure.

🎯 About the Role

As an MLOps Engineer Intern, you will gain hands-on experience in operationalizing ML workflows, building ML pipelines, deploying models, and implementing robust monitoring systems. You'll work with cutting-edge technologies in cloud infrastructure and CI/CD.

🛠️ Key Responsibilities

• 🏗️ Build complete ML pipelines with Airflow, Kubeflow Pipelines, or Metaflow.
• 🚀 Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving.
• 📦 Package models into Docker containers for APIs.
• 🔄 Automate dataset versioning & model tracking via DVC and MLflow.
• 📊 Implement model monitoring for data drift and performance metrics.
• ☁️ Design and manage scalable cloud infrastructure using AWS, GCP, or Azure.
• 🛠️ Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, etc.
• 💻 Manage Docker containers and Kubernetes resources.

✅ Requirements & Skills

• 🐧 Advanced expertise in Linux administration, networking, and shell scripting.
• 🐳 Strong knowledge of Docker and Kubernetes.
• ☁️ Hands-on experience with IaC tools like Terraform.
• ⚙️ Proficient in cloud-native services (IAM, EC2, S3, VPCs, etc.).
• ✅ Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions).
• 🐍 Proficiency in Python for scripting and ML-related deployments.

🎁 Perks & Benefits

• 💼 Work on next-generation technologies.
• 🚀 Opportunity for a Pre-Placement Offer (PPO).

⏳ Duration: 6 Months+PPO

📍 Location: Gurugram, Haryana (On -Site)

📩 How to Apply

• 📧 Please send your resume and a cover letter to hr@aaizeltech.com AND smriti@aaizeltech.com.