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Jr AI/MLOps Engineer

CoderView Technologies
Remote

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Job details

Full-time
₹18,000 - ₹25,000 a month
9 days ago

Qualifications

CI/CD
Cloud infrastructure
Kubernetes
AWS Certified Machine Learning – Specialty
DevOps
AWS Certification
Git
Bash (Unix shell)
AWS
Docker
Machine learning
Terraform
Continuous integration
GitHub
S3
Linux
AI
RDS database
Jenkins
GitLab
Python
Shell Scripting
Identity & access management

Full job description

Location: Remote
Job Type: Full-Time
Experience: 2–3 Years
Company: CoderView Technologies

About the Role

We are looking for a Jr AI/MLOps Engineer to join our growing technology team. The ideal candidate will have hands-on experience in AI/ML development, MLOps, AI infrastructure, platform engineering, cloud technologies, and DevOps, with strong expertise in AWS and Python.

Key Responsibilities

Build, deploy, and maintain AI/ML models and MLOps pipelines.
Develop ML workflows covering training, validation, deployment, monitoring, and retraining.
Design and manage scalable AI infrastructure, particularly on AWS.
Build and automate platform infrastructure for AI/ML workloads.
Implement CI/CD pipelines and automate ML model deployments.
Monitor model performance, infrastructure health, logging, and alerts.
Work with Docker, Kubernetes, Git, and modern DevOps tools.
Implement Infrastructure as Code using Terraform.
Collaborate with Data Scientists, Developers, DevOps Engineers, and Product teams.
Ensure security, scalability, reliability, and cost optimization of AI/ML platforms.

Required Technical Skills

AI / Machine Learning
Strong Python programming

MLOps

ML lifecycle and model deployment
MLflow, Kubeflow, Airflow, or similar tools
Model versioning, monitoring, retraining, and governance

AI Infrastructure & Platform Engineering

Experience designing and managing AI/ML infrastructure
Strong understanding of Platform Engineering
Building scalable and reliable developer/ML platforms
Automation, observability, security, and infrastructure optimization

Cloud & DevOps

Strong hands-on experience with AWS
AWS services such as EC2, S3, RDS, EKS, Lambda, SageMaker, CloudWatch, IAM and VPC
Terraform / Infrastructure as Code (IaC)
Docker and Kubernetes
CI/CD – GitHub Actions, Jenkins, GitLab CI, or similar
Linux and Bash scripting

What We Offer

Opportunity to work on real-world AI/ML projects
Exposure to AI Infrastructure, MLOps, Platform Engineering and Cloud
Remote-first working environment
Learning and career-growth opportunities
Collaborative and technology-driven team

How to Apply

Email: [email protected]
Subject: Application – Jr AI/MLOps Engineer

CoderView Technologies | Building Intelligent Technology for the Future

Pay: ₹18,000.00 - ₹25,000.00 per month

Experience:

AI Infrastructure: 1 year (Required)
Terraform: 1 year (Required)
Cloud infrastructure: 1 year (Required)

License/Certification:

AWS Certification (Required)

Work Location: Remote

Quick apply

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