Senior Machine Learning Engineer - Remote

Overview

An experienced Senior Machine Learning Engineer is needed to lead the deployment of cutting-edge models at scale, working closely with data scientists and MLOps engineers.

In Short

• Transform ML prototypes into production-grade, scalable solutions
• Build and manage CI/CD pipelines for seamless model integration and deployment
• Optimize machine learning systems for latency, throughput, and availability
• Monitor live models, detect performance degradation, and trigger automated retraining
• Implement cloud-native and distributed computing solutions (AWS, GCP, Spark, Kubernetes)
• Evaluate and integrate new tools and frameworks to enhance deployment speed and stability
• Write clean, maintainable code and contribute to knowledge sharing across the ML engineering team

Requirements

• Proven experience in machine learning engineering
• Strong understanding of cloud-native technologies
• Experience with CI/CD pipelines
• Familiarity with AWS, GCP, Spark, and Kubernetes
• Ability to write clean and maintainable code
• Strong problem-solving skills

Benefits

• Work with cutting-edge technology
• Collaborate with a talented team
• Opportunities for professional growth
• Flexible working environment