Regular Data Scientist
W skrócie
Data Scientist role in AI projects (CV, NLP, Predictive Analytics). Analyze data, train models, deploy to edge/cloud. Requires 3+ yrs experience, Python, ML/DL frameworks (PyTorch/TensorFlow), Git, Docker. Hybrid/remote, B2B/employment. Office in Bydgoszcz/Warsaw.
Słowa kluczowe
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
InTech
House (SoftBlue) is a place full of passion, mutual inspiration and challenges. We have a modern Research and Development Center, where we develop and test innovative solutions in programming and IoT. Join us! What will you be working on?
As a Data Scientist, you will join a team working on advanced AI projects in the following areas:
Computer Vision / Edge AINLP / Audio Processing
- Predictive Analytics / Time Series
- Data Mining / Optimization
- Anomaly Detection
- Your role:
Analyzing, cleaning, and exploring diverse datasets (images, audio, text, sensor data).
Designing, training, and evaluating state-of-the-art machine learning and deep learning models (Computer Vision, NLP, Time Series).
Collaborating with Hardware and Software Engineers to deploy models to edge devices (Edge AI) as well as to cloud/on-premise environments.
Ensuring code quality and MLOps processes.
Our requirements (must-have):
At least 3 years of commercial experience as a Data Scientist, Machine Learning Engineer, or in a related role.
A deep understanding of machine learning principles.
Proficiency in Python and data analysis libraries (pandas, NumPy, scikit-learn).
Hands-on experience with Deep Learning frameworks (PyTorch and/or TensorFlow).
Experience in at least one of the key areas for us: Computer Vision (e.g. object detection, segmentation) or Time Series Analysis (forecasting).
Knowledge of software engineering best practices (Git, Docker, basic CI/CD).
Very good knowledge of English (B2/C1 level).
Nice to have:
Experience with Edge AI (model optimization for devices such as Nvidia Jetson, Raspberry Pi Hailo, Coral TPU; knowledge of TensorRT, ONNX).
Experience in audio/NLP analysis and processing.
Familiarity with MLOps tools (e.g. MLflow, KubeFlow, DVC, Weights & Biases).
We offer:
Challenging role within the company that creates innovative solutions, Work in international environment on demanding projects, B2B cooperation model or employment contract, Fully remote or hybrid work model - office in Bydgoszcz/Warsaw, Subsidized private medical care, life insurance, multisport card, Integration meetings, Employee referral program. Sound interesting? Join us!
| Opublikowana | 2026-09-11 |
| Wygasa | 2026-10-31 |
| Źródło |
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