Kolomolo
Based in Stockholm Sweden and Krakow, Poland, Kolomolo is a leading IT consultancy firm specialized in cloud computing, AI, and IoT, proudly partnering with AWS. Our mission, "To be leaders in digital modernization," drives us to help companies leverage cutting-edge technologies through the expertise of our talented team.
11 - 50 employees
AI/ML Engineer
Job not on LinkedIn
September 19
Kolomolo
Based in Stockholm Sweden and Krakow, Poland, Kolomolo is a leading IT consultancy firm specialized in cloud computing, AI, and IoT, proudly partnering with AWS. Our mission, "To be leaders in digital modernization," drives us to help companies leverage cutting-edge technologies through the expertise of our talented team.
11 - 50 employees
📋 Description
• Develop and deploy ML models for detecting sleep apnea events using biosignals (e.g. breathing, SpO₂) and optionally audio/video • Design data pipelines and prepare training datasets from clinical or wearable device sources • Produce high level and low level AI system architecture taking into consideration user journeys • Validate model performance against medical-grade benchmarks • Optimize models for deployment across cloud, mobile, or edge devices • Collaborate with medical researchers, data engineers, and product teams to translate clinical requirements into scalable AI solutions • Document and maintain reproducible ML workflows and support versioning, CI/CD, and MLOps practices
🎯 Requirements
• 3+ years in ML/AI roles, ideally in health or time‑series / signal analysis • Strong experience in Python, TensorFlow or PyTorch, and libraries like NumPy, SciPy, and optionally scikit‑learn • Demonstrable background in time‑series modelling, anomaly detection, and signal processing • Experience working with physiological data (e.g. breathing, SpO₂ sensors) is a plus • Familiarity with model deployment and optimization on cloud or edge platforms • Good communication skills in English • Acquires knowledge and experience with MCP and also Contex Engineering • Competence in generative AI such as prompt engineering and RAG • Understands the Knowledge Graphs and Graph Databases
🏖️ Benefits
• Competitive salary and benefits • Career development opportunities in a growing tech company • Continuous learning culture: mentorship, internal training, and certifications • Flexible, agile work environment (remote, hybrid, or on-site in Kraków) • Flat management structure • Regular team events and a social, supportive work culture
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