Staff AI Engineer

Design, develop, and own AI and machine learning solutions including generative AI to enhance operational and business efficiency across industrial environments.

Define solution architecture end-to-end integrating AI/ML models into software, hardware, and business ecosystems ensuring maintainability, scalability, and compliance with IT standards.

Lead technical delivery by managing internal and external teams, reviewing work, and ensuring solutions meet defined acceptance criteria and remain maintainable after handover.

Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.

8+ years overall work experience with 2-4 years of professional experience in AI, machine learning, data science, software engineering, or comparable technical roles.

Proficiency in programming languages such as Python or C++ and experience with ML/DL frameworks (e.g., TensorFlow, PyTorch) and classical ML tools (e.g., scikit-learn).

Experience with cloud services (Azure, AWS), data engineering fundamentals (SQL, data pipelines), and practical exposure to GenAI technologies and time-series analysis.

Experienced in developing and deploying AI/ML solutions in industrial or complex operational environments with knowledge of related domain (industrial processes, electrification, power systems) considered advantageous.

Capable of independently translating complex business challenges into scalable, production-ready AI solutions with strong technical judgment on modeling approaches and integration architecture.

Demonstrated ability to lead and manage multi-disciplinary teams and external partners with high standards for technical quality, documentation, and operational maintenance.