Senior MLOps Engineer

About the role

Senior MLOps Engineer at Aligned Automation Services. Design, build, and maintain scalable MLOps platforms for training, deploying, monitoring, and managing machine learning models.

What you'll do

• Design, build, and maintain scalable MLOps platforms for training, deploying, monitoring, and managing machine learning models
• Develop and optimize CI/CD pipelines for ML applications using GitLab CI, Jenkins etc
• Containerize applications using Docker and orchestrate workloads using Kubernetes
• Build and maintain ML pipelines using Kubeflow, MLflow, Airflow, Argo Workflows, or similar orchestration tools
• Implement model versioning, experiment tracking, model registry, and reproducible ML workflows

What you need

• 11–20 years in data science & ai
• MLOps
• SQL
• Python
• Machine learning
• Airflow
• Spark
• Any graduate

Good to have

• LLMs
• Kafka
• RabbitMQ
• Vulnerability assessment
• CI/CD
• Kubernetes