Job VC

ABOUT COMPANY
SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.
We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business expertise, and we take every step with extra carefulness. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.
SoftServe Business System’s ideal candidate is someone who will be able to share the values of the company and become a reliable partner for the team.
The role: We are looking for a Python Engineer with an interest in Machine Learning and Computer Vision to join our Image Recognition product team. The role combines software engineering, machine learning, and R&D activities focused on a large-scale platform that processes retail shelf imagery to recognize products, price tags, shelf layouts, and planogram compliance
REQUIREMENTS
3+ years of Python development experience
Familiarity with Computer Vision concepts, including Object Detection, Image Segmentation, and Image Classification
Understanding of the machine learning lifecycle, including model training, evaluation, and deployment
Proficiency in SQL for data querying, analysis, and troubleshooting
Strong analytical mindset with the ability to solve complex problems and propose practical solutions
Curiosity and willingness to work with real-world image datasets and production-scale challenges
Ability to work independently and drive tasks from research through production delivery
Nice-to-have skills
Experience with PyTorch
Background in retail analytics, shelf recognition, planogram compliance, or similar Computer Vision domains
Familiarity with model optimization techniques (quantization, distillation, ONNX export)
Knowledge of MLOps practices, including experiment tracking, model versioning, and CI/CD for ML solutions
Understanding of classical Computer Vision algorithms (edge detection, Hough transforms, Haar wavelets)
RESPONSIBILITIES
Develop and maintain machine learning models for object detection, image segmentation, and product classification
Contribute to existing ML pipelines, including data preparation, model training, and evaluation
Collaborate with product and engineering teams to translate business needs into technical solutions and support roadmap planning
Conduct R&D activities to evaluate new architectures, techniques, and datasets aimed at improving model accuracy and performance
Develop and enhance post-processing algorithms to improve recognition quality and reliability
Analyze model outputs and system behavior using SQL queries and telemetry data
Write clean, maintainable Python code following engineering best practices
Document technical approaches, experiments, and model behavior to support knowledge sharing across teams