Machine Learning Developer III

Salary: $111,308.33 - 155,435 per year Requirements: Bachelors or Masters degree in Software Engineering, Computer Science, or a related field. 5 to 8+ years of experience in software engineering, particularly focused on deploying and maintaining Machine Learning systems. Advanced proficiency in Python and Object-Oriented Programming (OOP) is essential. Extensive experience with AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS, API Gateway, CloudWatch) and managing IAM roles for secure deployments. Expertise in pytest and unit testing frameworks to ensure code reliability. In-depth knowledge of Linux environments and a strong inclination to automate repetitive tasks and workflows. Thorough understanding of ML model deployment strategies and current LLM architectures. Ability to effectively communicate complex engineering concepts to colleagues with diverse technical backgrounds. A proactive team member who serves as a resource for others, sharing expertise and resolving model-related issues effectively. Bilingual proficiency in French and English is mandatory, with full professional competency in both languages. Responsibilities: Engage actively in the design and hands-on implementation of scalable AI frameworks customized for our ongoing and future projects. Collaborate closely with ML engineers and researchers to eliminate gaps between a trained model and deployed service, addressing engineering challenges that arise during production. Develop and implement an Technologies: AI API AWS CloudWatch IAM Support LLM Linux Machine Learning OOP Python pytest Cloud Lambda More: At Cobalt Streamworks, we are committed to creating advanced, sustainable, and efficient climate solutions for a wide range of applications including buildings, homes, and transportation. Our philosophy centers around putting the environment first in all that we do. Joining our team means contributing to a mission where you can make a real difference in addressing the worlds challenges. We are excited to offer a hybrid work model through our BrainBox AI Workplace Presence approach, allowing for dedicated in-office days each month that focus on fostering relationships, continuous learning, and innovative thinking. Our comprehensive benefits are designed to support you in thriving both professionally and personally. last updated 28 week of 2026