Senior ML Engineer Team Lead

The projects in the AI division aim to create innovative solutions to the cases presented by our clients, often achieving or exceeding state-of-the-art solutions. The cross-domain approach lets us implement projects from the fields of health & well-being, robotics and forestry, among others. The envisioned projects are related to the utilization of analytical and ML approaches for renewable energy sources’ predictive and prescriptive maintenance, but also customized solutions for multiple vehicle route planning and multi-label image classification. Key information: Salary: 25 000 - 27 000 PLN net month - pure B2B contract 21 800- 23 500 PLN net month – B2B contract (days off included) It is vital that you have: Problem-solving mindset Can-do attitude Experience in the implementation of commercial projects Ability to discuss and propose the most efficient solution Good overview of the state-of-the-art in ML models Well-grounded technical knowledge from signal and image processing Willingness to share knowledge with adequate knowledge transfer skills Great teamwork abilities with a ‘hands-on’ approach Passion for supporting team members in their career growth Drive to learn new technologies Main technologies: Python 3.11 and up PyTorch ONNX Numpy OpenCV Pandas/Polars AWS/Azure familiarity Pytest VSCode Nice to have technologies: TensorFlow ClearML/DVC studio OpenVINO TF Lite Edge Impulse PyTorch Mobile MinIO Amazon S3/Azure Blob SHAP Jetson OpenMMLab OpenAI API RAG familiarity You will be responsible for supporting our team in: Implementing ML solutions for a given time-series or vision problems Building the solution relying on both ML and analytical methods for pre-/post-processing Writing unit, functional, integration, end-to-end, and qualitative tests Leading the team in the project, having one-to-one sessions with team members Reporting on the project progress to the clients Participating in the project estimation process Preparing and maintaining project documentation, repository Practically utilizing good practices of AI project implementation Working closely with the delivery manager to ensure the adequate quality of work Participating in strategic planning for the AI division What do we offer: 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. Sounds like your cup of tea? We are excited to have you on our team