Place of work: Kyiv or Prague Required work experience: 5+ years Type of employment: full-time, office-based / hybrid / remote Who we are As of December 2025, FF Group is part of Axis Communications, strengthening Axis’s traffic analytics portfolio with high-precision license plate recognition and road event analysis expertise.
Founded in 2005, FF Group develops cutting-edge solutions for LPR and MMR on edge devices, servers, and in the cloud.
FF Group’s solutions are designed to support ALPR projects of any complexity and scale, from a single camera to deployments involving 10,000 cameras.
For more details, please visit: www.ff-group.ai. About the Role/Who we are looking for We are looking for a Data Engineering Manager to lead the team responsible for preparing high-quality image and video datasets for our machine learning and computer vision products.
You will lead a team of engineers and data operations specialists working on data preparation, annotation, validation, and dataset quality assurance across tens of millions of images. A key part of the role is scaling our data processing workflows, improving internal annotation and validation tools, and turning manual or semi-manual processes into reliable, automated data pipelines.
Working closely with machine learning engineers and international teams, you will help ensure our datasets support the development and continuous improvement of state-of-the-art computer vision systems. Responsibilities * Lead and grow a multidisciplinary team of engineers and data operations specialists responsible for large-scale dataset preparation and quality. * Own and evolve the end-to-end data pipeline used for training, testing, benchmarking, and evaluating computer vision models. * Build and scale the data infrastructure and automated pipelines that power dataset generation, validation, and delivery for machine learning systems. * Drive the transition from manual dataset operations to scalable, AI-assisted and human-in-the-loop workflows. * Lead the development of internal platforms and tools used to manage dataset quality, annotation workflows, validation, and large-scale dataset operations. * Define and track key metrics for dataset quality and operational performance, and continuously improve workflows in collaboration with ML engineers and product teams.
RequirementsMust have: * Experience leading technical teams with strong communication and stakeholder management skills. * Experience designing, building, or operating data processing systems, pipelines, or platforms. * Background in software engineering or data engineering or ML operations, or computer vision, or related technical areas, including experience developing internal tools or services. * Strong understanding of data quality management, validation workflows, operational metrics, and scalable process design. * Familiarity with machine learning data preparation workflows, including human-in-the-loop processes combining automated predictions with expert review. * Proficiency in Python and SQL, with experience working in Linux environments and using tools such as Git, workflow orchestrators (e.g., Airflow), and relational databases (e.g., PostgreSQL). * Ability to balance automation and operational efficiency with dataset quality, consistency, and traceability. * Professional English.
Nice to have: * Understanding of machine learning model evaluation workflows and dataset impact on model performance. * Experience with AI-assisted annotation or auto-labeling systems. * Experience training or evaluating computer vision models (e.g., CNNs). * Experience building internal tools or services using backend frameworks (e.g., Django, FastAPI) and modern web frameworks (e.g., React, Vue). * Experience with Docker, shell scripting, and cloud infrastructure. * Experience working with distributed data processing systems.
What we offer * Experience in highly innovative product development. * Work in one team with video analytics industry leaders on real-world projects. * Non-standard and creative tasks. * A dynamic, challenging, and creative environment for work and self-study. * Experience working with global leaders in the security industry. * Competitive salary. * Warm and friendly atmosphere.
Key Skills Team player, self-organization, analytical and wide mind, bring results, willingness to learn, stress resistance, perfectionist, fun from work, adaptive for changes
Please, send your salary expectations and resume accompanied with links to a public repository.
