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The DataOps/ML Engineer will contribute to developing innovative software applications by leveraging advanced AWS services and machine learning tools while ensuring deployment automation. Responsibilities include coding in Python, utilizing ML monitoring tools, and managing infrastructure with containers. This role requires collaboration on meaningful projects and a commitment to professional growth.

The DataOps/ML Engineer will develop high-quality applications, utilizing strong coding skills in Python, and working with AWS services and machine learning frameworks. Responsibilities include managing ML monitoring tools and collaborating on the automation of deployment pipelines in a dynamic environment.

As a DataOps/ML Engineer at Bluelight Consulting, you will develop high-quality applications, utilize AWS ML services, work with ML monitoring tools, and leverage infrastructure technologies. This role requires collaboration in a dynamic environment, contributing to meaningful projects, and offering opportunities for growth.