Solink→
Intermediate AI/ML Engineer at Solink in Ottawa, Ontario, CA
Skills
Job Description
Intermediate AI/ML Engineer
Location: Ottawa, ON | Hybrid
Department: AI
Reports To: Eugenia Kondratova, Senior Technical Manager AI
Type: Permanent | Full-Time
About Solink
At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational insights.
Our cloud-based platform integrates seamlessly with your 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 performance, and respond proactively to potential threats.
We're growing rapidly, earning industry recognition, and scaling with purpose. We’ve been recognized by 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 an Intermediate 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 is a highly applied, product-focused role - not a pure research position. You’ll be responsible not only for developing and tuning models, but also for integrating them into production systems and contributing to backend or front end components that deliver these capabilities to the customer.
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 embedded environments.
Evaluate, recommend and help integrate third-party AI/LLM/VLM services, balancing cost, performance, and applicability to customer use cases.
Participate in the full SDLC - from proof of concept, to integration with backend services, UX development, deployment, troubleshooting, and bug fixing.
Contribute to MLOps pipelines supporting data preparation, experimentation, training, evaluation, model versioning, serving, monitoring, and continuous improvement.
Work on model filter chain development and ML engineering - optimizing for cost efficiency and model effectiveness.
Collaborate with engineering and product teams to define model requirements and translate customer problems into valuable predictive insight features.
Adhere to best practices for quality, observability, alerting, and performance tuning.
What You Bring
Must-Have:
3+ years of experience building and deploying production-grade software and integrating ML models into customer facing solutions.
Experience in Python and ML frameworks such as PyTorch or TensorFlow.
Experience developing either front end or backend features with one or more of Node.js, React, Rust, JavaScript or TypeScript.
Hands-on experience training, fine-tuning, evaluating, and optimizing ML models.
Experience contributing to MLOps pipelines (data pipelines, labelling, experimentation, serving, monitoring, retraining).
Demonstrated ability to evaluate third-party LLM/VLM and AI services and make informed recommendations.
Comfort with contributing to all parts of the SDLC - from requirements validation, to software development, to quality and observability of complete systems.
Ability and interest in working across both ML and software engineering stack (cross functional imperative).
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 in real-world contexts.
Experience building solutions for cloud environments (AWS preferred) or for edge/embedded systems (Ubuntu, AI accelerators, device hardware), with knowledge of performance trade-offs.
Exposure to video data pipelines: ingestion, streaming, storage, indexing, and analytics at scale.
Security Requirements
Candidates must undergo a criminal records check upon hire;
Be a Canadian Citizen (dual citizens included), or eligible to work in Canada;
Be willing to comply with Solink’s own security policies and standards.
Our Values
We do things the Solink way:
Act with URGENCY – Our customers move fast, so we do too.
Deliver with QUALITY – We sweat the details and hold a high bar.
Win with TEAM – No egos. Just outcomes, built together.
Lead with TRUST – We earn it through clarity, consistency, and care.
These aren’t just words—they shape how we hire, lead, and grow.
Why Solink?
We’re not just building tech - we’re building a place where great people do great work.
Clarity and trust: Where the role allows, we support flexibility in how and where work gets done - and we’re upfront about what’s required.
Meaningful equity: Every full-time, permanent employee has a stake in our growth.
Comprehensive benefits: Fully paid health & dental (no waiting period) + $500 health spending account for full-time, permanent Solink employees.
Wellness support: Monthly reimbursement for fitness, wellness, or mental health programs for all Solink employees.
Growth through merit: Advancement is based on contribution, initiative, and the ability to raise the bar - together.
Candid culture: Clear expectations, honest feedback, and no politics.
Social connection: From So-learns to Solink-o and So-lunches, we stay connected in ways that actually feel fun.
What to Expect from the Hiring Process
We respect your time and value transparency. Here’s what to expect:
Virtual Interview with the Talent Advisor. The conversation will be recorded using Metaview, an AI-powered video interview tool
Technical Interview with direct leader and another engineer
Panel interview with cross-functional team members
References
Offer & onboarding
How to Apply
Submit your resume and a short cover letter via our [Careers Page]. Let us know what excites you about this role, and how you’d help move Solink forward.