AI Engineer

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster. Wavelo builds cutting-edge software for the telecom industry, specializing in billing, orchestration, and provisioning solutions. Our mission is to empower telecom providers with robust tools that streamline operations and drive impactful decisions. We are now expanding our AI capabilities to derive deep insights from our event-stream data, enabling us to take meaningful actions that enhance our products and customer experience.

What's New at Tucows

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you!

Position Overview: As an AI Engineer at Wavelo, you will be responsible for designing, building, and optimizing AI-driven solutions that enhance our event processing capabilities. This is a hands-on role focused on writing high-quality code, developing machine learning models, and solving real-world problems using AI. You will work closely with cross-functional teams to implement AI solutions that drive automation, intelligence, and efficiency across our billing, orchestration, and provisioning systems.

Key Responsibilities:

• AI Model Development: Design, develop, and deploy AI and machine learning models to extract actionable insights from telecom event streams.
• End-to-End AI Engineering: Write and optimize production-grade code for model training, inference, and deployment, ensuring robustness and scalability.
• Data Processing Pipelines: Build and maintain efficient data pipelines that feed into AI models, ensuring real-time performance and reliability.
• Cross-Functional Collaboration: Work closely with software engineers, data engineers, and product teams to integrate AI solutions seamlessly into our systems.
• Monitoring and Continuous Improvement: Implement tools and frameworks for monitoring model performance, retraining as necessary, and ensuring ongoing accuracy and effectiveness.
• Documentation and Best Practices: Maintain thorough documentation of AI models, data pipelines, and processes, fostering knowledge sharing and best practices within the team.

Must Have Qualifications: The ideal candidate is an experienced AI engineer with a strong software development background. They are highly proficient in AI/ML model development, deployment, and optimization, with a focus on coding, problem-solving, and real-time AI applications.

• Experience: 3+ years in AI/ML engineering, software development, or similar roles, with demonstrated experience writing and maintaining production-level code.
• Technical Skills:
• Strong programming skills in Python, Go, or another relevant language.
• Experience developing and deploying AI models for real-world applications.
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, Google Cloud).
• Expertise in building and maintaining scalable AI data pipelines using Apache Kafka or similar event-streaming technologies.
• Strong understanding of AI model lifecycle management, including training, evaluation, versioning, and retraining.
• Proficiency in working with APIs, microservices, and containerized environments (Docker, Kubernetes).
• Solid knowledge of data preprocessing, feature engineering, and model optimization for large-scale AI applications.
• Problem-Solving Skills: Ability to apply AI to real-world problems, optimize performance, and troubleshoot complex issues.
• Communication Skills: Strong ability to explain technical concepts, collaborate with teams, and drive AI adoption across the organization.

Preferred/Nice to Have Qualifications:

• Experience with CI/CD pipelines and automated model deployment.
• Experience with real-time data processing frameworks such as Apache Spark or Flink.
• Prior experience in applying AI to real-time analytics, IoT, or telecom event processing.
• Proficiency in Go for high-performance AI engineering.
• Exposure to reinforcement learning, anomaly detection, or other advanced AI techniques.

The base salary range for this position is $200,000 - $225,000 USD for US residents OR $167,000 - $185,000 CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. Learn more about Tucows Benefits.

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

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