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AI/ML Developer, Chemistry, Industry
Location
Poland
Posted
37 days ago
Salary
zł140 - zł170 / hour
Seniority
Senior
Job Description
AI/ML Developer, Chemistry, Industry
Spyrosoft
• 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
Job 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
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