DevOps Engineer
2 months ago
As a DevOps Engineer at Quarterhill, you will play a pivotal role in enhancing our development and delivery infrastructure. Your primary objective will be to support traditional software development and machine learning workflows by building, deploying, and maintaining CI/CD pipelines that integrate MLOps for scalable and secure ML pipelines.
You will ensure model development adheres to best practices such as versioning, auditability, and data security. Key responsibilities include:
- Design, implement, and manage robust CI/CD pipelines for seamless code integration and deployment, as well as machine learning model releases.
- Monitor system performance, identify, and resolve issues promptly to ensure availability and reliability of development and production environments for both software and ML model environments.
- Implement and manage security practices within CI/CD pipelines and infrastructure to protect against vulnerabilities and ensure compliance with industry standards.
- Continuously improve infrastructure and CI/CD processes by identifying bottlenecks and implementing solutions for optimization.
- Integrate various DevOps tools and ML frameworks to create a cohesive, efficient development and machine learning environment.
- Support model development, focusing on auditability, versioning, and scalability for machine learning models.
- Partner with development, AI/ML, and QA teams to ensure smooth and timely integration and delivery of software products.
- Apply software engineering rigor and best practices to machine learning systems, ensuring effective automation and orchestration.
- Create and maintain comprehensive documentation for DevOps processes, tools, and configurations to ensure transparency and knowledge sharing.
To be successful in this role, you will need:
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- 1-3 years of experience in a DevOps role or similar position.
- Experience with MLOps and developing ML pipelines, including model training, validation, and deployment.
- Experience developing and maintaining machine learning systems built with open-source tools.
- Basic scripting skills in Python, Bash, or similar languages.
- A competitive salary range: $80,000 - $120,000 per annum.
- Comprehensive health and dental plans.
- Retirement plans.
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