MLOps Engineer -Intern

About the Role

Aaizel International Technologies is seeking an MLOps Engineer - Intern to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines.

Responsibilities

• Collaborate with data scientists to operationalize ML workflows.
• Architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines.
• Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving.
• Package models into Docker containers using Flask or FastAPI or Django for APIs.
• Automated dataset versioning & model tracking via DVC and MLflow.
• Implement Model Monitoring For (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect).
• Implement event-driven retraining workflows triggered by drift alerts or data freshness.
• Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs.
• Design and manage secure, scalable infrastructure using AWS, GCP, or Azure.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps.
• Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation.
• Automated configuration management with Ansible, Chef, or SaltStack.

What You'll Need

• Advanced expertise in Linux administration, networking, and shell scripting.
• Strong knowledge of Docker, Kubernetes, and container security.
• Hands-on experience with IaC tools like Terraform and configuration management like Ansible.
• Proficient in cloud-native services: IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager.
• Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions).
• Familiarity with SaaS architecture, distributed systems, and multi-env deployments.
• Proficiency in Python for scripting and ML-related deployments.
• Experience integrating monitoring, alerting, and incident management workflows.
• Strong understanding of DevSecOps, security scans (e.g., Trivy, SonarQube, Snyk) and secrets management tools (Vault, SOPS).
• Experience with GPU orchestration and hybrid on-prem + cloud environments.

Resume Tip

Highlight your experience with MLOps tools, cloud infrastructure, and CI/CD pipelines in your resume.