AI/ML Developer (Chemistry, Industry)

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)