Senior Generative AI Specialist

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Solo per membri registrati
Pavia
EUR 50.000 - 80.000
Sii tra i primi a mandare la candidatura.
7 giorni fa
Descrizione del lavoro

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 (ex : LoRa)

Experience working with one of the major cloud providers (AWS, GCP, Azure, IBM)

Knowledge of MLOps and microservices architectures

Usage of IDE (Visualbasics, Pycharm)

Familiarity with version control tools (Git, CodeCommit, etc.)

Knowledge of Non-Relational Databases

High level 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 enviroment where collegues are encouraged to think outside the box.

Crif is committed to creating a diverse, inclusive work environment and promoting equal opportunies during the employee life cycle .

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