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.
19 квітня 2026

Head of Data (Engineering, AI/ML) (вакансія неактивна)

Київ, за кордоном, віддалено

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 Head of Data (Engineering, AI/ML) 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.

Requirements

Must 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.

See you at FF Group. An Axis Company!