Senior Machine Learning Engineer

TL;DR

Senior Machine Learning Engineer (AI Engineering): Develop scalable machine learning infrastructure and end-to-end ML applications to improve safety, efficiency, and sustainability of physical operations. Focus on building ML platforms with Kubernetes orchestration, CI/CD pipelines, monitoring, and collaboration across engineering teams.

Location: Remote, must reside in Canada

Salary: 132,600–171,600 CAD annually

Company

hirify.global is a pioneer of the Connected Operations™ Cloud platform, enabling organizations to harness IoT data to improve physical operations across industries such as agriculture, construction, transportation, and manufacturing.

What you will do

• Design and implement scalable ML infrastructure using Ray and Kubernetes for model training, deployment, and inference.
• Develop and maintain CI/CD pipelines for automated testing and deployment of ML applications.
• Implement monitoring, logging, and alerting systems to ensure platform reliability and security.
• Collaborate with data scientists and ML engineers to optimize data pipelines and model performance.
• Provide DevOps/SRE support including incident response and disaster recovery planning.
• Embed hirify.global’s cultural principles and support global scaling efforts.

Requirements

• Must reside in Canada to be eligible for this remote position.
• BS or MS in Computer Science or related field with 6+ years experience in ML engineering or applied science.
• Proficiency in languages such as C++, Golang, Java, Python, or Scala and ML tools like TensorFlow, PyTorch, and Spark.
• Experience deploying and refining ML models with customer feedback loops.
• Comfortable with backend/full-stack development to understand data structures and dependencies.

Nice to have

• Ph.D. in Computer Science or quantitative discipline.
• Experience building and optimizing ML models on edge devices.
• Expertise in distributed model training with GPUs.
• Experience building end-to-end ML applications from scratch.

Culture & Benefits

• Competitive total compensation including base salary, bonus, and RSUs.
• Employee-led remote and flexible working options.
• Health benefits and inclusive work environment.
• Support for reasonable accommodations during recruiting process.
• Flexible working model supporting remote, hybrid, and onsite preferences.