AI/ML Developer (Chemistry, Industry)

O projekcie: Project description: In this role, you will design, build, and deploy AI-driven solutions, working closely with data engineers, domain experts, and clients - primarily within the Chemistry and Industrial sectors. The position emphasizes hands-on development, experimentation, and productionization of machine learning systems. About Spyrosoft Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries. Wymagania: - Degree in Computer Science, Engineering, or a related technical field- Proficiency in Polish and English (spoken and written)- Strong programming skills (e.g., Python) and experience with ML/AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)- Hands-on experience building and deploying machine learning models in production environments- Solid understanding of machine learning techniques, including: Generative AI, Computer vision, Classification and regression- Experience working with time-series data and industrial datasets- Familiarity with industrial systems (SCADA, MES, ERP, SAP, IoT)- Experience with data processing, storage, and pipeline development- Knowledge of MLOps practices (CI/CD for ML, model monitoring, versioning)- Ability to write clean, maintainable, and well-documented code- Strong problem-solving skills and ability to work independently on technical challenges- Willingness to work closely with business teams to shape and refine AI use cases- Strong communication skills and ability to collaborate effectively with business stakeholdersNice to have:- Experience in Chemistry or industrial/manufacturing domains- Familiarity with cloud platforms (AWS, Azure, GCP)- Experience with real-time data processing and streaming systems- Understanding of production environments and operational metrics in factories- Experience supporting or participating in pre-sales activities (e.g., technical input to proposals, solution discussions) Codzienne zadania: - Design, develop, and deploy machine learning and AI solutions, including Generative AI, computer vision, and predictive models - Build scalable data pipelines and integrate models into production environments - Collaborate with data engineers and scientists to process and analyze large datasets (including industrial and time-series data) - Translate business requirements into technical implementations, focusing on robust and maintainable solutions - Develop and optimize algorithms for real-world industrial use cases (e.g., predictive maintenance, anomaly detection, process optimization) - Work with industrial data sources such as SCADA, MES, ERP, SAP, and IoT systems - Implement model monitoring, validation, and continuous improvement pipelines (MLOps practices) - Contribute to system architecture with a focus on performance, scalability, and reliability - Prototype and experiment with new AI approaches, rapidly iterating toward production-ready solutions - Support integration of AI systems into existing client infrastructure and applications