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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, focusing on machine learning projects using AWS services and programming with Python. Responsibilities include monitoring application performance, implementing ML automation, and utilizing various tools for deployment and infrastructure management.

As a DataOps/ML Engineer at Bluelight Consulting, you will contribute to innovative projects by developing high-quality applications using programming skills and cloud-based solutions, collaborating closely with a dynamic team in a fast-paced 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.

As a DataOps/ML Engineer, you will leverage your skills in Python and AWS to develop high-quality applications, utilize ML services, and work with various automation tools. Collaborating with a team, you will focus on creating innovative technology solutions and driving professional growth within a supportive environment.

The DataOps/ML Engineer will be responsible for developing high-quality applications using AWS ML services, coding primarily in Python, and utilizing various machine learning and automation tools. The role involves managing deployment pipelines and infrastructure, while working in a collaborative environment that values continuous learning.

As a DataOps/ML Engineer at Bluelight Consulting, you will work on developing high-quality applications, leveraging strong coding skills in Python and advanced AWS services with a focus on machine learning. The role involves monitoring and automating ML processes, infrastructure management, and deploying applications using container and automation technologies.