Senior AI​/ML Engineer

Senior AI/ML Engineer

Location:

Ottawa, ON | Hybrid (Eastern Time, within Canada)
Department:  Engineering

Reports To:

Eugenia Kondratova, Senior Technical Manager, AI
Type:  Full-Time | Permanent
Vacancy Status:  This is an active role and we are currently hiring for this position.
About Solink   At Solink, our mission is to safeguard what matters most. We help businesses know sooner and act faster by transforming video security into real-time operational insights.
Our cloud-based platform integrates seamlessly with existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational efficiency.
Trusted by over  30,000 locations across 32+ countries —including brands like McDonald's and JYSK—Solink delivers clarity when it counts. Our solutions help businesses reduce shrink, optimize operations, and proactively respond to emerging threats.
We're growing quickly, earning recognition from  Deloitte's Fast 50™ and Fast 500™ , Business Intelligence Group, and as one of  Ottawa's Best Places to Work . And we're just getting started.

The Role   As a Senior AI/ML Engineer, you'll design, build, and deploy end-to-end machine learning solutions that power Solink's next generation of video, analytics, and operational intelligence. You'll work across research, model development, software engineering, and production integration—owning features that create measurable value for customers across both cloud and edge environments.
This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous technical problems, and is motivated by shipping reliable, scalable ML-powered features used in high-volume, real-world applications.
What You'll Do     Design, develop, train, and deploy ML models—including computer vision, LLMs/VLMs, and multimodal models—across cloud and edge/embedded environments.

Own ML-driven features end-to-end: from proof of concept and experimentation to integration, deployment, instrumentation, and ongoing improvement.

Evaluate and integrate third-party AI/LLM/VLM services, balancing cost, performance, and applicability for customer-facing use cases.

Build and maintain MLOps pipelines supporting data preparation, experimentation, training, evaluation, model versioning, serving, monitoring, and continuous improvement.

Collaborate with engineering and product teams to define model requirements and translate customer problems into valuable predictive insight features.

Implement best practices for quality, observability, alerting, and performance tuning related to AI services and ML model behavior.

Integrate ML components with Solink's broader platform, including backend services and edge processing systems.

Develop automated tests for ML and software components to ensure stable, reliable releases.

Troubleshoot and resolve production AI/ML issues while driving long-term architectural improvements.

Stay current with advancements in computer vision, generative AI, LLM/VLM architectures, and applied machine learning.

What You Bring    Must-Have      7+ years of experience  building and deploying production-grade software and integrating ML models into real products.

Strong proficiency in  Python  and ML frameworks such as  PyTorch  or  Tensor Flow .

Hands-on experience training, fine-tuning, evaluating, and optimizing ML models (including model distillation or compression).

Experience implementing  MLOps practices  (data pipelines, experimentation, serving, monitoring, retraining).

Demonstrated ability to evaluate third-party LLM/VLM and AI services and make informed recommendations.

Experience building solutions for  cloud environments (AWS preferred)  or for  edge/embedded systems (Ubuntu, AI accelerators, device hardware) , with knowledge of performance trade-offs.

Strong software engineering skills, capable of delivering scalable, production-ready ML systems.

Excellent communication skills and ability to explain ML concepts clearly to technical and non-technical audiences.

Nice-to-Have     

Experience with  computer vision , LLMs, multimodal models, and applied AI…