Middle/Senior Python Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Middle/Senior Python Engineer (AI): Developing and maintaining machine learning models for object detection and image segmentation with an accent on retail analytics and shelf recognition. Focus on building scalable ML pipelines, conducting R&D for model optimization, and ensuring high-quality production delivery.
Location: Must be based in Ukraine (Remote/Hybrid)
Company
Business Systems is a product company focused on leading the digital revolution in the FMCG industry through innovative software solutions.
What you will do
- Develop and maintain ML models for object detection, image segmentation, and product classification.
- Contribute to end-to-end ML pipelines including data preparation, training, and evaluation.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Conduct R&D to evaluate new architectures and techniques for improving model accuracy.
- Analyze system behavior and model outputs using SQL and telemetry data.
- Write clean, maintainable Python code following engineering best practices.
Requirements
- Must be based in Ukraine.
- 3+ years of professional Python development experience.
- Strong understanding of Computer Vision concepts like Object Detection and Image Segmentation.
- Proficiency in SQL for data querying and troubleshooting.
- Experience with the machine learning lifecycle from training to deployment.
- Ability to work independently and drive tasks from research to production.
Nice to have
- Experience with PyTorch and model optimization techniques like quantization or ONNX.
- Background in retail analytics or planogram compliance.
- Knowledge of MLOps practices including CI/CD for ML.
- Understanding of classical Computer Vision algorithms.
Culture & Benefits
- Opportunity to work on production-scale challenges in the FMCG domain.
- Focus on business expertise and high-quality product development.
- Collaborative environment working with major global brands.
- Commitment to professional growth and knowledge sharing.
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