MLOps Engineer

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Описание

Cognism is actively seeking an outstanding MLOps Engineer to join our growing Data team. This role is primarily a hands-on engineering and MLOps position, with the individual reporting directly to the Engineering Manager in the Data team. The MLOps at Cognism is entrusted with optimizing and improving the quality of ML services and products. Advising and enforcing best practices within Data Science team, provide tooling and platforms that ultimately results in more reliable, maintainable, scalable and faster Machine Learning workflows. The successful candidate will be at the forefront of our MLOps initiatives, especially during the implementation of our machine learning platform and best practices. Key Responsibilities Build and manage automation pipelines to operationalize the ML platform, model training and model deployment on AWS Design and implement architectures, service and pipelines on the AWS cloud that are secure, reliable, scalable and maintainable Operate, maintain and evolve our traditional ML systems in production: gradient-boosted tree models, embedding-based matching, fine-tuned transformer classifiers, and classic NLP pipelines, running on our own serving and data infrastructure as well as some LLM based workflows Contributing to the MLOps best practices within the Science and Data team Acting as a bridge between AI, Engineering, and DevSecOps for ML deployment, monitoring, and maintenance Work closely with Data Scientists to provide tooling and integration o

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