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.

Main responsibilities:

• 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 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 stakeholders

Nice 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)