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Job description
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your role and responsibilities
As a Senior ML Engineer, you will be responsible for the development and training of ML/DL models, adapting to LLMs, and contributing to Generative AI and Agentic AI use cases.
Required technical and professional expertise
Python programming language
ML frameworks (PyTorch/TensorFlow)
Experience with Large Language Models (LLMs)
Ability to transition between ML Engineering and MLOps responsibilities
Fluent in both French and English
Preferred technical and professional experience
Experience with Generative AI and Agentic AI use cases
Knowledge of cloud-based ML platforms
Familiarity with agile development methodologies
Strong understanding of software development principles
Experience with collaboration tools and version control systems
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.