Search the 165 jobs at Bluelight Consulting

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.

The DataOps/ML Engineer will work on developing high-quality applications, utilizing expertise in Python and AWS services, including ML services. The role involves collaboration on challenging projects, employing machine learning monitoring tools, and automating deployment pipelines. Candidates must have strong coding experience and be familiar with various ML technologies and infrastructure tools.

The DataOps/ML Engineer will contribute to developing high-quality applications, leveraging skills in cloud ML services and automation tools, while fostering a collaborative environment. Responsibilities include coding in Python, using AWS services, implementing ML monitoring tools, and utilizing infrastructure technologies such as Docker and Kubernetes.

In this role, you will develop high-quality applications, utilize AWS services, and apply machine learning techniques using tools such as TensorFlow and PyTorch. You will also automate deployment pipelines and engage in continuous professional development while contributing to various client projects.

As a DataOps/ML Engineer, you will develop high-quality applications, utilizing strong coding skills in Python and AWS services. Your role involves using ML tools, managing automation, and employing infrastructure technologies while contributing to diverse projects.

The DataOps/ML Engineer will work on developing high-quality applications, utilizing AWS services, managing ML monitoring tools, and employing infrastructure technologies. The role emphasizes collaboration in a fast-paced environment with opportunities for personal and professional growth.

In this role, you will contribute to developing high-quality applications within a collaborative team. Responsibilities include coding in Python, utilizing AWS services for machine learning, and managing deployment pipelines with various tools and technologies.

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.