AI/ML Engineer
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Le poste
Design, implement, and maintain Python-based services and pipelines for AI workloads.
Own projects end-to-end from concept to deployment, ensuring reliability, scalability, and performance.
Deploy AI models using Docker and AWS, and run controlled experiments to measure outcomes.
Evaluate results with clear performance metrics and translate findings into production improvements.
Collaborate with teammates, document effectively, and communicate issues early.
Apply AI techniques such as embeddings and LLMs to build robust, maintainable ML systems.
Own projects end-to-end from concept to deployment, ensuring reliability, scalability, and performance.
Deploy AI models using Docker and AWS, and run controlled experiments to measure outcomes.
Evaluate results with clear performance metrics and translate findings into production improvements.
Collaborate with teammates, document effectively, and communicate issues early.
Apply AI techniques such as embeddings and LLMs to build robust, maintainable ML systems.
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