Analyst, Data Science & AI developper

What are your contributions to the team?

• Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and ML.
• Design, develop and maintain modern applications and AI/ML models using Python, React and related frameworks.
• Automate data extraction, transformation, and loading processes for AI/ML pipelines.
• Deploy and integrate new and existing AI models into enterprise systems, including SAP S/4HANA.
• Ensure performance, scalability and responsiveness of AI-powered applications to drive measurable business value.
• Contribute to model lifecycle management, including monitoring, evaluation and continuous improvement.
• Maintain clean, modular and well-documented code following best practices.
• Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
• Stay current on advancements in AI/ML and Software Engineering to proactively introduce relevant innovations to the organization.

How to thrive in this role?

• 5+ years of experience in Software Development, combined with experience in AI/ML Engineering or Operational Research.
• Bachelor's or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.
• Strong proficiency in Python, SQL, React, JavaScript/TypeScript, PySpark, REST APIs and full-stack integration.
• Solid understanding and experience implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP.
• Proven experience with cloud platforms, with preference to Microsoft Azure, particularly tools like Azure Databricks, AML, AI Foundry, App Services, AKS, Blob Storage, etc.
• Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
• Knowledge of scripting in Linux or PowerShell.
• Strong analytical thinking, problem-solving ability, and decision-making initiative.
• Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.
• Bonus points for experience applying optimization techniques (e.g. linear programming, mixed-integer programming) using tools such as OR-Tools, CPLEX, etc.