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The Machine Learning Engineer is responsible for the end-to-end development, deployment, and maintenance of machine learning (ML) and artificial intelligence (AI) solutions. This role requires a strong blend of data science, software engineering, and MLOps expertise to build robust, scalable, and secure AI/ML systems that address complex business challenges.

Responsibilities:

• Apply established machine learning and AI techniques to new problems and datasets.

• Build, optimize, and maintain machine learning and AI models and supporting pipelines.

• Evaluate and monitor ML/AI system outcomes, model performance, and data quality; define appropriate metrics and acceptance criteria.

• Identify issues in models, pipelines, and datasets; recommend and implement improvements.

• Design, develop, test, ...