Top Tech Jobs & Startup Jobs

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.

The DataOps/ML Engineer will contribute to the development of high-quality applications, focusing on machine learning services and deployment automation. Responsibilities include coding in Python, utilizing AWS services, working with ML frameworks, and managing deployment pipelines and infrastructure technologies.

The DataOps/ML Engineer will develop high-quality applications, focusing on machine learning and automation tools. Responsibilities include leveraging AWS services, monitoring ML processes, and working with container and infrastructure technologies. The role encourages professional growth in a collaborative environment.

As a DataOps/ML Engineer at Bluelight Consulting, you will develop high-quality applications in a collaborative environment. Duties include leveraging AWS services, utilizing machine learning frameworks like TensorFlow and PyTorch, and automating deployment pipelines with tools like GitLab CI/CD and Jenkins.

As a DataOps/ML Engineer, you will enhance user-centric projects at Bluelight Consulting, applying your extensive Python and AWS knowledge. You'll develop innovative machine learning applications, automate deployment pipelines, manage infrastructure with tools like Terraform and Docker, and collaborate in a dynamic team environment focused on growth and client satisfaction.

The DataOps/ML Engineer will develop high-quality applications using Python and AWS services, including AWS SageMaker. Responsibilities include building and monitoring ML models, using container technologies like Docker and Kubernetes, and automating deployment pipelines. Additionally, the engineer will collaborate on various projects, contributing to significant client outcomes in a dynamic consulting environment.