Job VC
Head of Data (Engineering, AI/ML)
Technologies
Description
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!
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!