Senior Generative AI Specialist

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CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance agencies, utilities, and businesses, is seeking a Senior Generative AI Specialist. The successful candidate will join our “Advanced Analytics Global” area, the Center of Excellence at CRIF that combines expertise in Data Science, Data Engineering, and Generative AI.

Profile:

• PhD or Master’s Degree in statistics, applied mathematics, computer science, quantitative economics, econometrics or a similar quantitative field.
• 3+ years of experience in Data Science / AI fields.
• Strong problem-solving skills and teamwork capabilities.
• Knowledge of major trends and technologies in AI/GenAI.

Hard Skills:

• Excellent knowledge of Python and Data Science libraries (Pandas, Numpy, Scikit-Learn, Keras, Pytorch, Matplotlib, requests, etc.).
• Deep understanding of the fundamentals of statistics and machine learning (sampling theory, inference and interpretation, model validation, regression and classification techniques, etc.).
• Experience in development and management of LLM pipelines.
• Deep understanding of LLM fine-tuning methods (e.g., LoRa).
• Experience working with one of the major cloud providers (AWS, GCP, Azure, IBM).
• Knowledge of MLOps and microservices architectures.
• Proficiency in IDEs (Visual Basic, Pycharm).
• Familiarity with version control tools (Git, CodeCommit, etc.).
• Knowledge of Non-Relational Databases.
• High proficiency in the Office suite, especially Excel.

Nice to have:

• Familiarity with Docker.
• Research and publications in the AI field.

We offer a safe and inclusive environment where colleagues are encouraged to think outside the box.

CRIF is committed to creating a diverse, inclusive work environment and promoting equal opportunities throughout the employee lifecycle.

We aim to attract and retain the best people, embracing gender, age, culture, religion, and disability diversity.