Machine Learning and Statistics: building explanatory and predictive models to support
Deep Learning: intelligent processing of unstructured data such as text (Natural Language
Generative AI & Large Language Models (LLMs): designing and deploying LLM-based solutions (GPT
Operations Research: helping design and implement constrained optimization solutions and simulation
Big Data: algorithmic knowledge for processing large volumes of unstructured data

🎯 Requirements

Master’s degree from an engineering school or advanced degree in information processing
At least one year of prior experience in Big Data or Data Science
Excellent level in statistics and quantitative analysis
Proficient in Python programming and code versioning
Knowledge of API development (Flask, FastAPI), cloud platforms (Azure, AWS, or GCP), and Deep
Strong interest in data and AI-related challenges

🎁 Benefits

Equal opportunity employer

🛃 Visa sponsorship

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