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Design, develop, and deploy machine learning solutions for real-world applications, focusing on Computer Vision and LLM-based workflows. Collaborate with cross-functional teams to build, optimize, and monitor scalable ML inference pipelines.
The role
We're looking for a Senior Machine Learning Engineer to join our team and help build production-grade AI solutions focused on Computer Vision and modern ML systems. If you enjoy having real impact on product direction, making key technical decisions, and working on real-world AI applications - this role is for you.
What you'll do
Design, develop, and deploy machine learning solutions for real-world applications
Work on AI-driven features involving Computer Vision and LLM-based workflows
Build and optimize ML inference pipelines for scalability and performance
Collaborate closely with engineers, product teams, and stakeholders to shape technical solutions
Participate in architecture discussions and contribute to technical decision-making
Improve model serving, monitoring, and deployment processes
Work with image/video processing pipelines and production ML systems
Support experimentation, prototyping, and continuous improvement of AI capabilities
What we are looking for
5+ years of experience in Machine Learning, Computer Vision, or AI-related roles
Strong Python skills and solid software engineering fundamentals
Hands-on experience with PyTorch and/or TensorFlow
Experience building and deploying ML systems in production environments
Good understanding of machine learning lifecycle and model optimization
Practical experience with Computer Vision and OpenCV
Experience with GPU-accelerated inference workflows (TensorRT, CUDA)
Familiarity with Docker and containerized ML deployment workflows
Strong communication skills and ownership mindset
Comfortable working in a bilingual environment (Polish C1+, English B2+)
What we offer
26 000 - 33 000 PLN net + VAT monthly, B2B
100% remote setup and flexible hours
Private medical care, life insurance, and Multisport 🏃♂️➡️
Referral bonuses
Equipment of your choice (MacBook by default)
Interesting, challenging projects - we only take on the ones we believe in :-)
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