AI/ML Developer (Chemistry, Industry)

Degree in Computer Science, Engineering, or a related technical fieldProficiency 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 environmentsSolid understanding of machine learning techniques, including: Generative AI, Computer vision, Classification and regressionExperience working with time-series data and industrial datasetsFamiliarity with industrial systems (SCADA, MES, ERP, SAP, IoT)Experience with data processing, storage, and pipeline developmentKnowledge of MLOps practices (CI/CD for ML, model monitoring, versioning)Ability to write clean, maintainable, and well-documented codeStrong problem-solving skills and ability to work independently on technical challengesWillingness to work closely with business teams to shape and refine AI use casesStrong communication skills and ability to collaborate effectively with business stakeholdersNice to have:Experience in Chemistry or industrial/manufacturing domainsFamiliarity with cloud platforms (AWS, Azure, GCP)Experience with real-time data processing and streaming systemsUnderstanding of production environments and operational metrics in factoriesExperience supporting or participating in pre-sales activities (e.g., technical input to proposals, solution discussions) 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 SpyrosoftSpyrosoft 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. ,[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] Requirements: Degree, Python, AI, TensorFlow, PyTorch, Machine learning, Computer vision, SCADA, MES, ERP, SAP, Storage, MLOps, Cloud, AWS, Azure