Senior ML Engineer / ML Architect

We are looking for an experienced AI/ML engineer who will take part in commercial projects serving as hands-on help in implementation oriented on delivering value for our customers, but also with the ability to lead the ML and/or Agentic AI part of the project. We look for someone who combines strong machine learning expertise with hands-on experience building scalable, production-grade inference services and ML infrastructure.

Key information:

Salary:24 000 - 28 000 PLN net/month - pure B2B contract21 000 –24 500 PLN net/month – B2B contract (days off included)

It is vital that you have:7 years of experience in software engineering/research, with 5+ years of hands-on experience in Machine Learning and track record in prod

Agentic AI; proven track record in Computer Vision and Agentic AI; experience designing scalable, production-ready AI architectures; can-do and proactive attitude; strong communication skills; proficient in English language(min. C1).

We will be more than happy if you have:

German language skills; experience with Edge AI deployment and neural network optimization.

Technology stack:

Python, PyTorch, ONNX, Numpy, Pandas/Polars; strong proficiency in AWS/Azure, Pytest, VS

Code, DVC, Experiment tracking framework (DVC studio, ML

Flow, W& B, or similar);familiarity with the Computer Vision ML stack (OpenCV, Torch Vision, TensorRT, Vision Transformers);

Agentic AI stack (Agno, LangChain+LangGraph, Arize Phoenix/LangFuse/LangSmith, Milvus/Qdrant, LlamaIndex=, together with multi-modal ML methods.

You will be responsible for supporting our team in:estimating new projects; hands-on implementation of the code; planning the architecture and implementation for AI projects; contributing to the company-wide AI strategy; supervising the implementation of the projects; participating in the promotional activities of the company; participating in knowledge-sharing activities.

What do we offer:possibility to work 100% remotely or on-site at our office in Gdańsk; b2b contract with included 30 days off; private Medical care; group insurance; pre-paid card or Sport Card; referral program; real Agile practices; employee well-being online platform; cafeteria benefits.