Machine Learning Operations Engineer - Remote

Overview

The Machine Learning Operations Engineer will be responsible for deploying and automating machine learning models, maintaining feature stores, and ensuring the scalability and monitoring of production models.

In Short

• Deployment and automation of Machine learning Models
• Maintenance of feature store
• Monitoring and Maintenance of Production Models
• Infrastructure Management and Scalability
• Collaboration with Data Science and Data Engineering Teams
• CI/CD for Machine Learning

Requirements

• At least 2+ years working with AWS and Python
• Experience with AWS SageMaker and other AWS services such as Lambda, EventBridge, Glue, DynamoDB, S3, and Step Functions
• Knowledge of MLOps and DevOps: Git, Docker, Kubernetes, Terraform, or CloudFormation
• Experience in automating ML pipelines
• Strong programming skills in Python
• Understanding of model monitoring in production and strategies to mitigate data drift
• Experience with logging and monitoring tools such as CloudWatch or Datadog
• Familiarity with SQL and NoSQL databases, especially DynamoDB and Redshift

Benefits

• Competitive salary
• Opportunities for professional growth
• Collaborative work environment
• Access to cutting-edge technologies
• Flexible working hours