Software Engineer (MLOps) - H/F/NB
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The role
You will join a multidisciplinary product team to push the boundaries of gameplay through generative AI.
Standardize and rationalize training and evaluation pipelines for machine learning models.
Design, optimize, and deploy ML microservices using Docker, with robust CI/CD for ML.
Define model versioning policies and lifecycle management while integrating observability to monitor performance.
Foster reuse of ML components across projects (models, pipelines, packages) and promote best practices in MLOps.
Collaborate with internal data science and ML engineering clients to translate needs into technical specifications in an agile, game-focused environment.
Standardize and rationalize training and evaluation pipelines for machine learning models.
Design, optimize, and deploy ML microservices using Docker, with robust CI/CD for ML.
Define model versioning policies and lifecycle management while integrating observability to monitor performance.
Foster reuse of ML components across projects (models, pipelines, packages) and promote best practices in MLOps.
Collaborate with internal data science and ML engineering clients to translate needs into technical specifications in an agile, game-focused environment.
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