Mid-/Senior-level | Golang | .NET | Azure | Artificial Intelligence At Genetec, we create exceptional outcomes for our customers with innovative strategies and software technologies that will keep their security environment robust and resilient. As a global leader in video surveillance software, the drive to go beyond expectations has been key to the Genetec experience since day one. Why this role matters This role turns our AI strategy into reality. By modernising our ML and GenAI stack, enabling data workflows and experimentation, and building scalable inference platforms, you’ll help teams create quality datasets, evaluate models, and move them to production. Your work will make AI deployments faster, more reliable, and easier to improve - reducing risk and cost while accelerating innovation. The team You’ll join a newly created, diverse team across Canada, France, and Poland, ready to grow. Bring your passion for technology, development, quality, and automation to a collaborative group that shares ideas openly. You’ll help shape our products and build the foundation for AI-driven innovation, making a real impact. What your day will look likeEnable cheap ownership and evolution of high-quality datasets Build and maintain self-service data acquisition, annotation, transformation, and versioning capabilities so developers and data practitioners can move from raw data to clean, versioned datasets quickly and continuously. Facilitate data lineage tracking and data governance. Provide tooling to build transformation pipelines with integrated data quality checks. Facilitate experimentation with data and models Enable researchers to track their experiments and reproduce past runs with minimal effort. Provide access to services with compute clusters for running model training pipelines and experiments. Facilitate full traceability of data, code, and artifacts across experiments and data transformation pipelines.Support deployment, scaling, and observability of models Design and operate secure, automated deployment workflows that move models from experimentation to production in minutes, not weeks. Implement continuous deployment pipelines with versioning and parallel deployments to ensure quality and enable rollbacks. Optimise runtime environments to meet latency and performance targets, supporting multi-cluster and multi-tenant scaling. RequirementsAbout you We welcome all qualified candidates, including those who may not meet every listed requirement. If you're excited about this role and believe you can make an impact, we’d love to hear from you. Machine Learning & MLOps Hands-on experience with MLFlow, KServe, AirFlow. Knowledge on labelling/annotation tooling Experience with experiment tracking tools Familiarity with model runtimes and deployment (Triton Inference Server, OpenVino Model Server). Knowledge of DevOps, CI/CD for ML, GitOps workflows, and automated deployment strategies. Observability & Monitoring Proficiency in telemetry and data drift and quality monitoring. Cloud & Infrastructure Strong skills in Kubernetes and Terraform for infrastructure automation. Experience with scaling services in cloud environments. Programming & Automation Solid coding skills in at least one language, Golang or .NET, and the motivation to learn Golang or .NET. Nice-to-have Expertise in data platforms, including batch and streaming pipelines, ideally with knowledge of Databricks, Spark, and/or Delta Lake Knowledge in labelling/annotation tools Knowledge in experiment tracking tools Strong understanding of data quality, data versioning, and lineage tracking. Knowledge of the Champion/Contender deployment model. Understanding of responsible AI governance and compliance. BenefitsWhat's in for youAn opportunity to make a meaningful impact in an international, diverse, and collaborative work environment.A culture that encourages creativity and fresh ideas, giving you the freedom to challenge the status quo and shape how we work.A role within an industry‑leading global company and an open, supportive atmosphere.Corporate Discount Program offering access to a variety of partner perks.French language classes to support your international collaboration and career growth.Participation in international team events and conferences, fostering strong connections across regions.Benefit from an Employee Performance Bonus Plan.Pension Plan (PPK), ensuring long‑term financial security.Hybrid work model with three days per week in our Krakow office, supporting our collaboration and company culture. Genetec is an equal opportunity employer, we strive for diversity and inclusion through our recruitment approach as well as the training and professional development we provide. We partner with external associations and implement internal initiatives to provide a welcoming work environment for employees from all backgrounds.
Mid-/Senior-level | Golang | .NET | Azure | Artificial Intelligence
At Genetec, we create exceptional outcomes for our customers with innovative strategies and software technologies that will keep their security environment robust and resilient. As a global leader in video surveillance software, the drive to go beyond expectations has been key to the Genetec experience since day one.
Why this role matters
This role turns our AI strategy into reality. By modernising our ML and GenAI stack, enabling data workflows and experimentation, and building scalable inference platforms, you’ll help teams create quality datasets, evaluate models, and move them to production. Your work will make AI deployments faster, more reliable, and easier to improve - reducing risk and cost while accelerating innovation.
The team
You’ll join a newly created, diverse team across Canada, France, and Poland, ready to grow. Bring your passion for technology, development, quality, and automation to a collaborative group that shares ideas openly. You’ll help shape our products and build the foundation for AI-driven innovation, making a real impact.
What your day will look like
Enable cheap ownership and evolution of high-quality datasets
- Build and maintain self-service data acquisition, annotation, transformation, and versioning capabilities so developers and data practitioners can move from raw data to clean, versioned datasets quickly and continuously.
- Facilitate data lineage tracking and data governance.
- Provide tooling to build transformation pipelines with integrated data quality checks.
- Facilitate experimentation with data and models
- Enable researchers to track their experiments and reproduce past runs with minimal effort.
- Provide access to services with compute clusters for running model training pipelines and experiments.
- Facilitate full traceability of data, code, and artifacts across experiments and data transformation pipelines.
Support deployment, scaling, and observability of models
- Design and operate secure, automated deployment workflows that move models from experimentation to production in minutes, not weeks.
- Implement continuous deployment pipelines with versioning and parallel deployments to ensure quality and enable rollbacks.
- Optimise runtime environments to meet latency and performance targets, supporting multi-cluster and multi-tenant scaling.
Requirements
About you
We welcome all qualified candidates, including those who may not meet every listed requirement. If you're excited about this role and believe you can make an impact, we’d love to hear from you.
Machine Learning & MLOps
- Hands-on experience with MLFlow, KServe, AirFlow.
- Knowledge on labelling/annotation tooling
- Experience with experiment tracking tools
- Familiarity with model runtimes and deployment (Triton Inference Server, OpenVino Model Server).
- Knowledge of DevOps, CI/CD for ML, GitOps workflows, and automated deployment strategies.
Observability & Monitoring
- Proficiency in telemetry and data drift and quality monitoring.
- Strong skills in Kubernetes and Terraform for infrastructure automation.
- Experience with scaling services in cloud environments.
Programming & Automation
- Solid coding skills in at least one language, Golang or .NET, and the motivation to learn Golang or .NET.
Nice-to-have
- Expertise in data platforms, including batch and streaming pipelines, ideally with knowledge of Databricks, Spark, and/or Delta Lake
- Knowledge in labelling/annotation tools
- Knowledge in experiment tracking tools
- Strong understanding of data quality, data versioning, and lineage tracking.
- Knowledge of the Champion/Contender deployment model.
- Understanding of responsible AI governance and compliance.
Benefits
What's in for you
- An opportunity to make a meaningful impact in an international, diverse, and collaborative work environment.
- A culture that encourages creativity and fresh ideas, giving you the freedom to challenge the status quo and shape how we work.
- A role within an industry‑leading global company and an open, supportive atmosphere.
- Corporate Discount Program offering access to a variety of partner perks.
- French language classes to support your international collaboration and career growth.
- Participation in international team events and conferences, fostering strong connections across regions.
- Benefit from an Employee Performance Bonus Plan.
- Pension Plan (PPK), ensuring long‑term financial security.
- Hybrid work model with three days per week in our Krakow office, supporting our collaboration and company culture.
Genetec is an equal opportunity employer, we strive for diversity and inclusion through our recruitment approach as well as the training and professional development we provide. We partner with external associations and implement internal initiatives to provide a welcoming work environment for employees from all backgrounds.
At Genetec, we believe that everyone’s voice deserves to be heard and we want you to learn and to grow within your role to maximize your potential. Our family, of over 2000 people globally, is made up of diverse individuals who are passionate about technology and are quick to try new ideas, even if it means risking failure. Most of all, we are all proud to say that we have the privilege to work with some of the coolest, smartest and nicest people we know - Each other! There are many reasons as to why we were chosen as one of Montreal’s Top Employers for over a decade.Want to join our team? Check out the job postings below or share them with a friend!
At Genetec, we believe that everyone’s voice deserves to be heard and we want you to learn and to grow within your role to maximize your potential.
Our family, of over 2000 people globally, is made up of diverse individuals who are passionate about technology and are quick to try new ideas, even if it means risking failure.
Most of all, we are all proud to say that we have the privilege to work with some of the coolest, smartest and nicest people we know - Each other! There are many reasons as to why we were chosen as one of Montreal’s Top Employers for over a decade.
Want to join our team? Check out the job postings below or share them with a friend!
