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The DataOps/ML Engineer will contribute to developing high-quality applications, primarily using Python and various AWS ML services. Responsibilities include using ML monitoring tools, managing deployment pipelines, and working with infrastructure technologies to automate processes.

The role involves developing high-quality applications, focusing on machine learning and automation. Responsibilities include coding in Python, managing AWS services, utilizing ML frameworks, and working with various deployment tools and infrastructure technologies. Candidates will collaborate on projects, enhancing user experience while fostering a continuous learning environment.

As a DataOps/ML Engineer, you will contribute to developing high-quality applications using AWS services and machine learning tools, ensuring effective automation and monitoring of ML pipelines, while collaborating in a dynamic team environment.

The DataOps/ML Engineer will develop high-quality applications, leveraging Python and AWS services. Responsibilities include utilizing ML services, monitoring and automation tools, and container technologies. The role involves collaborating in a fast-paced environment on meaningful projects that contribute to the company’s growth.

As a DataOps/ML Engineer at Bluelight Consulting, you will develop high-quality applications using your strong coding skills in Python and advanced knowledge of AWS ML services. You will work with automation tools, infrastructure technologies, and contribute to meaningful projects in a fast-paced environment.

As a Sales Virtual Assistant at Bluelight Consulting, you will engage in identifying and prospecting new accounts, maintain a competitive drive, and work independently with excellent communication skills. Your contributions impact client businesses, and you will work on various projects in a supportive and growing environment.

The Sales Virtual Assistant will identify and prospect new accounts, utilizing strong communication skills to contribute to client success. Responsibilities include setting and achieving goals, maintaining a competitive drive, and working collaboratively in a dynamic environment. This role supports the company's mission of delivering innovative software solutions while fostering personal and professional growth.