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The DataOps/ML Engineer will be responsible for developing high-quality applications using Python, leveraging AWS services including ML services, and utilizing various machine learning and container technologies. The role emphasizes continuous learning in a collaborative environment.

As a DataOps/ML Engineer at Bluelight Consulting, you will design and develop innovative applications, focusing on AWS services and machine learning technologies. You will collaborate with a dynamic team, utilizing Python, TensorFlow, and various automation tools to enhance project delivery and optimize machine learning processes.

The DataOps/ML Engineer will develop high-quality applications, utilizing Python and AWS services, including machine learning technologies. The role requires working with monitoring and automation tools, as well as infrastructure technologies. The position promises opportunities for professional growth in a collaborative environment.

The DataOps/ML Engineer will work on developing high-quality applications using Python and AWS services. Responsibilities include implementing machine learning solutions, monitoring, and automation tools, and managing infrastructure and deployment pipelines in a collaborative environment focused on personal growth.

The DataOps/ML Engineer will develop high-quality applications, leverage AWS services, and utilize machine learning tools. Responsibilities include coding in Python, automating deployment pipelines, and monitoring ML processes while working collaboratively in a remote team.

The DataOps/ML Engineer at Bluelight Consulting will focus on developing high-quality applications using Python and AWS services for machine learning. Responsibilities include working with ML monitoring tools, infrastructure technologies, and deployment pipeline automation. The role promotes continuous learning and offers a collaborative environment for professional growth.

The DataOps/ML Engineer will develop high-quality applications and contribute to meaningful projects in a fast-paced environment. They will leverage their strong programming skills and AWS knowledge to work with ML monitoring tools and deployment pipelines, enhancing software consultancy offerings.