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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 contract
21 000 –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 prodAgentic 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, VSCode, DVC, Experiment tracking framework (DVC studio, MLFlow, 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:
conducting AI workshops with customers;
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.
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