MLOps Engineer

Job Description

We are looking for a skilled MLOps Engineer to manage and optimize machine learning infrastructure and deployment pipelines. The ideal candidate will have experience with cloud platforms, CI/CD pipelines, containerization, and machine learning model deployment.

As an MLOps Engineer, you will automate ML workflows, monitor AI systems, improve model scalability, and ensure the reliability of production machine learning applications.

Key Responsibilities

• Deploy machine learning models into production environments
• Build and maintain ML pipelines and automation workflows
• Monitor model performance and system reliability
• Manage cloud infrastructure for AI applications
• Automate training, testing, and deployment processes
• Optimize scalability and performance of AI systems
• Collaborate with Data Scientists and AI Engineers
• Implement CI/CD pipelines for machine learning projects
• Maintain data versioning and model tracking systems
• Ensure security and compliance of ML infrastructure

Required Skills

Technical Skills

• Python
• Machine Learning Basics
• Docker & Kubernetes
• CI/CD Pipelines
• Cloud Platforms (AWS, Azure, GCP)
• Linux Administration
• Git & Version Control

MLOps Tools

• MLflow
• Kubeflow
• Airflow
• Jenkins
• TensorFlow Serving
• FastAPI
• Databricks

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, or related field
• 2–5+ years of experience in DevOps, Cloud, or Machine Learning
• Experience deploying machine learning models
• Knowledge of cloud architecture and automation

Preferred Certifications

• AWS Certified Machine Learning
• Microsoft Azure AI Engineer Associate
• Google Professional ML Engineer
• Docker & Kubernetes Certifications

Tools & Technologies

• Python
• Docker
• Kubernetes
• AWS SageMaker
• Azure ML
• Google Vertex AI
• TensorFlow
• PyTorch
• GitHub Actions
• Jenkins

Career Growth Opportunities

After gaining experience as an MLOps Engineer, professionals can move into:

• Senior MLOps Engineer
• AI Infrastructure Engineer
• Cloud AI Engineer
• Machine Learning Architect
• AI Platform Engineer
• DevOps Architect
• AI Solutions Architect