Highlights
Join a dynamic team building cutting-edge AI/ML solutions. Gain hands-on experience with cloud-native services and CI/CD pipelines.
Description
Job Summary
pWe are seeking an MLOps Engineer to join our team at Aaizeltech, a deep-tech company building AI/ML-powered platforms and SaaS applications. As an MLOps intern, you will play a crucial role in deploying and managing machine learning systems, ensuring they are scalable, secure, and maintain high performance.
Responsibilities
- Collaborate with data scientists to operationalize ML workflows
- Build complete ML pipelines using Airflow or Kubeflow Pipelines
- Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving
- Package models into Docker containers for APIs
- Implement automated dataset versioning and model tracking with DVC and MLflow
- Setup model registries to ensure reproducibility and audit trails
Required Skills
- AWS
- Kubernetes
- Jenkins
- Python
- Docker
Required Skills Explained
- 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.
- Mastery of cloud-native services such as IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager.
- Proficient in CI/CD tools including 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.
Who is this for
pThis role is ideal for someone with a strong background in MLOps, cloud infrastructure management, and automation. You should have experience working on complex ML projects and be comfortable collaborating across multiple teams.
Why This Job is a Good Opportunity
ulliGain hands-on experience in MLOps and contribute to the development of AI/ML-powered platforms and SaaS applications.liWork with a diverse team of AI/ML engineers, backend developers, frontend developers, QA teams, product owners, and project managers.liOpportunity to work on cutting-edge technologies and collaborate with external government or enterprise clients.liAaizeltech offers a supportive and innovative environment where you can grow your skills and advance your career in MLOps engineering.
Interview Preparation Tips
- Review the must-have and nice-to-have skills listed in the job description thoroughly.
- Prepare examples of how you have used CI/CD tools, Kubernetes, and IaC tools like Terraform or Ansible.
- Demonstrate your experience with monitoring, alerting, and incident management workflows using specific projects or scenarios.
- Showcase your proficiency in Python for scripting and ML-related deployments by discussing relevant projects.
Career Growth in This Role
pAs an MLOps Engineer at Aaizeltech, you will have the opportunity to advance your career through specialized training, mentorship, and a supportive work environment. The role offers exposure to various cloud-native services and SaaS architectures, providing valuable experience for growth in DevOps or data engineering roles. With hands-on experience in model monitoring, infrastructure design, and CI/CD pipelines, you can transition into leadership positions or pursue further specialization in AI/ML systems.
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Skills
Frequently Asked Questions
What is the duration of this internship?The internship lasts for 6 months, followed by a potential PPO offer.
Is remote work an option?This role requires on-site presence in Gurugram, Haryana.
What are the core responsibilities of this role?Key responsibilities include building ML pipelines, deploying models, and implementing automated monitoring systems.
