Machine Learning Engineer - Remote

Overview

We are seeking a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team at Shield, where we are committed to developing advanced machine learning models and solutions.

In Short

• Develop and maintain machine learning infrastructure.
• Collaborate with data scientists and engineers.
• Design and implement software architecture for machine learning solutions.
• Optimize model deployment using industry best practices.
• Work with containerized environments like Kubernetes and Docker.
• Utilize AWS for cloud-based solutions.
• Conduct unit testing and ensure CI/CD practices.
• Stay updated with the latest advancements in machine learning.
• Work closely with DevOps teams for MLOps best practices.
• Maintain high-quality, production-ready machine learning models.

Requirements

• 4+ years of Python programming experience.
• 3+ years as a Machine Learning Engineer.
• Experience with software architecture design.
• Familiarity with optimized model deployment and serving.
• Background in Linux and containerized environments.
• Experience with cloud technologies.
• Experience with tools like ElasticSearch, RabbitMQ, Kafka, and Redis.
• Experience with unit testing and CI/CD.
• Experience in MLOps is an advantage.
• Ability to collaborate with DevOps teams.

Benefits

• Exciting and fun work environment.
• Opportunity to work with advanced technologies.
• Collaborative team atmosphere.
• Potential for personal and professional growth.
• Engagement in impactful projects.