AI/ML Engineer
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Le poste
Proactively design and implement scalable AI/ML solutions across the model lifecycle.
Develop production-ready models with data preprocessing, feature engineering, and robust evaluation.
Collaborate with cross-functional teams to translate business needs into reliable ML pipelines and APIs.
Apply MLOps practices for CI/CD, deployment, monitoring, and governance of ML systems.
Lead experimentation and benchmarking, communicating insights clearly to stakeholders.
Stay current with AI/ML advances, ensuring code quality, scalability, and performance.
Develop production-ready models with data preprocessing, feature engineering, and robust evaluation.
Collaborate with cross-functional teams to translate business needs into reliable ML pipelines and APIs.
Apply MLOps practices for CI/CD, deployment, monitoring, and governance of ML systems.
Lead experimentation and benchmarking, communicating insights clearly to stakeholders.
Stay current with AI/ML advances, ensuring code quality, scalability, and performance.
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