AI software engineer for retail imagery

HireHi; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medical package

Company equipment provided

Remote or hybrid work from Krakow

Career development

Job summary

FORM is seeking a senior ML/AI engineer to develop and deploy machine learning models for computer vision and AR-enabled workflows. You will work on end-to-end model development, from training to deployment, in a fast-paced, globally scalable environment.

They emphasize clean code, robust testing, and collaboration in English, with opportunities in hybrid or remote arrangements from Krakow, Poland.

Qualifications

• 5+ years hands-on experience developing and deploying ML/DL models in production or applied R&D.
• Strong understanding of classical and modern computer vision, linear algebra, calculus, 2D/3D geometry, and spatial graphics.
• Practical experience with modern LLMs/VLMs and prompt engineering.
• High proficiency in Python and deep learning frameworks.
• Ability to collaborate daily in English, both written and verbal.

Responsibilities

• Write clean, maintainable, fully tested code and participate in code reviews.
• Collaborate with the team using Agile methodologies, Jira, and Git.
• Train and evaluate deep learning models and Vision-Language Models for retail scene understanding and product recognition.
• Design and implement features bridging computer vision and computer graphics using 2D/3D geometry for interactive AR workflows.
• Profile, optimize and quantize algorithms for latency- and memory-constrained edge hardware.
• Work with multimodal LLMs, VLMs, and prompting techniques to develop automated recognition tools.
• Improve and optimize algorithms for efficiency, robustness across store conditions, and global scalability.

Skills

Machine Learning

Deep Learning

Computer Vision

Python

English Proficiency

Git

CI/CD

Jira

Prompt Engineering

Edge Computing

Tools

Git

CI/CD Pipelines

ARKit

ARCore

OpenGL

WebGL

CoreML

TFLite

Job description

Описание:

FORM provides mobile technology and field execution solutions for frontline teams. Its platform guides daily tasks, speeds data collection, improves communication, and gives leaders real-time intelligence. Its solutions include the GoSpotCheck AI-enabled task management platform, Trax image recognition technology, and FORM OpX.

Задачи:

Write clean, maintainable, fully tested code and participate in code reviews Collaborate with the team using Agile methodologies, Jira, and Git Train and evaluate deep learning models and Vision-Language Models for retail scene understanding and product recognition Design and implement features that bridge computer vision and computer graphics, using 2D/3D geometry for interactive Augmented Reality workflows Profile, optimize, and quantize algorithms for latency- and memory-constrained edge hardware Work with multimodal LLMs, VLMs, and prompting techniques to develop automated recognition tools Improve and optimize algorithms for efficiency, robustness across store conditions, and global scalability

Требования:

5+ Years of hands-on experience developing and deploying Machine Learning and Deep Learning models in production or applied R&D environments Strong understanding of classical and modern computer vision, linear algebra, calculus, 2D/3D geometry, and spatial graphics Practical experience with modern LLMs/VLMs and prompt engineering High proficiency in Python and deep learning frameworks Ability to adapt complex academic and R&D concepts into robust, maintainable production features Comfortable collaborating daily in English, both written and verbal Strong commitment to clean code, unit and integration tests, Git, code reviews, Jira, and CI/CD pipelines Будет плюсом: Augmented Reality frameworks such as ARKit or ARCore, computer graphics pipelines such as OpenGL or WebGL or game engines, edge-device model optimization and inference runtimes such as CoreML or TFLite, retail analytics, planogram compliance, fine-grained object recognition

Условия:

Full remote or hybrid work from the Krakow office Medical package available on preferential terms Subsidized English language courses Company-provided work equipment Opportunities for internal growth and career development Access to internal learning resources Full medical, vision, and dental coverage; life and disability insurance are available Flexible vacation time Paid parental leave 401(K) plan Compensation may vary depending on skills, experience, and location within Poland