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The Principal Algorithm Engineer performs research and testing to develop machine learning algorithms and predictive models. Designs and develops scalable solutions using AI tools and machine-learning models. Being a Principal Algorithm Engineer conducts model training and evaluation. Utilizes big data computation and storage tools to create prototypes and datasets. In addition, Principal Algorithm Engineer integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. Being a Principal Algorithm Engineer work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a Principal Algorithm Engineer typically requires 7+ years of related experience.
The Principal AI Engineer ensures the scalability, reliability, and performance of AI systems. Designs and develops scalable solutions using AI tools and machine-learning models. Being a Principal AI Engineer performs research and testing to develop machine learning algorithms and predictive models. Develops and executes performance tests on AI systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance. In addition, Principal AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient in big data tools, cloud platforms, multiple AI tools such as Python, Java, or R, and machine learning frameworks like Spark, TensorFlow, or scikit-learn. Requires a bachelor's degree in computer science or related degree. Typically reports to a manager. Being a Principal AI Engineer work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a Principal AI Engineer typically requires 7+ years of related experience.
The DevOps Principal Engineer monitor, troubleshoot, maintain, and continuously improve building, packaging, and deployment processes. Design, build and maintain a stable and efficient infrastructure to optimize service delivery across production, QA, and development environments throughout the development lifecycle. Being a DevOps Principal Engineer utilize a consistent DevOps approach to improve all phases of the process and ensure end-to-end quality across functions. Implement automated infrastructure capabilities like backups, security tools, monitoring. In addition, DevOps Principal Engineer knowledge of deployment/configuration management tools like Jenkins, Maven, Puppet, or Ansible. Utilizes version control tools like GIT, Bitbucket, SVN, or CVS. Experienced with network infrastructure, database, cloud and data center operations, and security protocols. Strong knowledge of Linux and/or Windows OS. Understands AWS and other services. Experience with programming and scripting with languages like Python, Perl, Bash, PHP, Java, SQL, or C++. Typically requires a bachelor's degree. Typically reports to a manager or head of a unit/department. Being a DevOps Principal Engineer work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a DevOps Principal Engineer typically requires 7+ years of related experience.