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)
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