Verified from career page · Posted 2mo ago

Genetec

Software Engineer - Genetec AI Platform

Genetec · R&D

Kraków

Mid-level Still listed after 2 months

Machine learningAirflowAzureCI/CDC# / .NETDatabricksGoKubernetesLLM / GenAIMLflowTerraform

Last seen 2h ago

Posted
2mo ago

Posted on 22 July 2026

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

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.

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.

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.

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.

About Genetec

Genetec is a Canadian physical security software company (access control, video, licence plate) with an engineering hub in Vienna. Strong presence across EU public-sector and critical-infrastructure markets.

Apply at Genetec

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