Senior Data Engineer, MLOps - Remote

Overview

Quanata is seeking a Senior Data Engineer with expertise in MLOps to enhance the model development and delivery processes, focusing on automation throughout the machine learning lifecycle.

In Short

• Operationalize key data science solutions for risk-prediction products.
• Design and build ML pipelines using AWS services.
• Manage a shared feature store for batch and real-time feature retrieval.
• Implement real-time inference services with low-latency endpoints.
• Establish comprehensive testing strategies within CI/CD pipelines.
• Enable ML Governance for model and data versioning.
• Implement event-driven orchestration for automated retraining.
• Monitor production models for performance and quality.

Requirements

• Bachelor's degree or equivalent experience.
• 8 years of industry experience with 2 years in MLOps.
• Proficient in Python and Docker.
• Experience with Terraform and IaC principles.
• Expertise in designing MLOps solutions on AWS.
• Strong collaboration and communication skills.
• Experience with AWS Step Functions.
• CI/CD experience tailored for ML systems.

Benefits

• Comprehensive health, dental, and vision benefits.
• $2K for home office setup.
• Four weeks of PTO in the first year.
• Up to $5000 for professional development annually.
• 401(k) Plan with company match.