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We are currently expanding our SOFTWARE&IT SERVICES team and are looking for a Data Scientist – AI Engineer to join our growing team and help deliver high-quality projects to our clients.

Job Description

• Research and evaluate AI/ML technologies aligned with the company's needs
• Contribute to the implementation of AI solutions across our IT systems, business applications, and data management processes
• Collaborate closely with cross-functional teams to enhance our development and reporting capabilities for clients - Identify best practices and provide recommendations for integrating AI to optimize services and improve the customer experience

Qualifications

• Engineering degree or equivalent in Computer Science, Data Science, or related field
• Proven expertise in Artificial Intelligence, Machine Learning, and data analytics techniques like regression, clustering, decision trees, neural networks etc.
• Proficiency in programming languages: Python (Pandas, NumPy, Scikit-Learn)
• Experience with large language models (GPT, Claude 3), multi agent system and prompt engineering is a plus
• Experience with databases (SQL)
• Knowledge of big data tools is a plus (Hadoop, Spark)
• Familiarity with cloud platforms like AWS, Azure, or GCP
• Strong analytical, problem-solving and model-building skills
• Knowledge of the construction/infrastructure sector is a plus
• Excellent communication and interpersonal abilities

Additional Information

• Attractive salary and bonus with annual revision
• Compulsory insurance pay as gross monthly salary
• Flexible working time with 15 annual leave days (female), 13 annual leave days (male) & 15 work from home days, leave 30 minutes early on Friday
• Team-building activities, Sport Clubs
• Cooperation with colleagues around the world in a leading global group
• Strong team spirit in an entrepreneurial environment of a growing company
• People values, social responsibility and sustainability
• Opportunities for self-development and career advancement
• Internal training courses (technical, foreign language, soft-skill)