AI Network Automation Engineer (Flexible)

Ciena; Canada; On-site; CAD 93,000 - 151,000; Full time

Job summary

A leading technology company in Canada is seeking a Machine Learning Engineer to join its dynamic development team. In this role, you will design and deliver AI-driven applications that enhance network performance and reliability. The ideal candidate will have over 3 years of professional experience in AI/ML, proficiency in relevant programming languages, and a Bachelor's degree in a related field. This position offers competitive compensation and a flexible work environment.

Benefits

Comprehensive medical, dental, and vision plans

401(K) & DCPP with company matching

Employee Stock Purchase Program (ESPP)

Employee Assistance Program (EAP)

Paid holidays and vacation time

Qualifications

• 3+ years of experience in AI/ML Engineering, with hands-on deployment of AI systems.
• Experience with software development lifecycles and version control.
• Ability to manage experiments at scale using MLOps tools.
• Experience with network management solutions and protocols is a plus.

Responsibilities

• Develop and integrate AIOps solutions into the Navigator Network Control Suite.
• Ingest, organize, and analyze large datasets for actionable insights.
• Train and validate AI/ML models for time-series forecasting and anomaly detection.
• Define best practices for AI solution development and deployment.
• Conduct code reviews and debugging for quality assurance.
• Stay updated with advancements in AI/ML technologies.

Skills

Machine learning algorithms (regression, clustering)

Deep Neural Networks (DNNs)

Statistical modeling

Time-series analysis

Anomaly detection

Proficiency in Python, C++, or Java

Strong communication skills

Education

Bachelor’s degree in computer science, Engineering, Mathematics, or Physics

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

MLflow

Docker

Kubernetes

Matplotlib

Tableau

Job description

A leading technology company in Canada is seeking a Machine Learning Engineer to join its dynamic development team. In this role, you will design and deliver AI-driven applications that enhance network performance and reliability. The ideal candidate will have over 3 years of professional experience in AI/ML, proficiency in relevant programming languages, and a Bachelor's degree in a related field. This position offers competitive compensation and a flexible work environment.