What are the responsibilities and job description for the Machine Learning Systems Architect position at Crowe LLP?
Crowe LLP Overview\
\ Crowe LLP is a leading professional services firm that provides audit, tax, and consulting services to clients across various industries. Our team of experts has extensive knowledge and experience in delivering high-quality solutions to help businesses succeed.\
\
Job Summary\
\ We are seeking a highly skilled Machine Learning DevOps Engineer to join our team. As a key member of our AI Engineering group, you will be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe.\
\
Responsibilities\
\ Design, build, and maintain scalable and robust APIs that integrate with Crowe's machine learning models.\
\ Deploy and manage Kubernetes environments to ensure the reliable operation of our AI systems.\
\ Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness.\
\ Implement system architectures that support scaling and distributed computing needs.\
\ Ensure the stability and security of AI deployments through design and execution of rigorous testing and monitoring.\
\
Requirements\
\ 4-8 years' experience maintaining production-grade APIs.\
\ Software engineering experience in a production environment, with a strong background in system design and architecture.\
\ Expertise in programming languages such as Python and JavaScript.\
\ Solid understanding of scaling strategies and distributed computing principles.\
\ Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks.\
\ Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus).\
\ Experience with serverless functions, e.g., OpenFaaS.\
\
Our Benefits\
\ Competitive salary range: $94,500.00 - $212,500.00 per year.\
\ Comprehensive total rewards package, including benefits, retirement plan, and paid time off.\
\ Opportunities for career growth and advancement.\
\ Inclusive culture that values diversity and promotes work-life balance.\
\
Professional Growth\
\ Meet with your Career Coach on a consistent basis to guide you in your career goals and aspirations.\
\ Participate in regular training and development opportunities to enhance your skills and knowledge.\
\ Take advantage of mentorship programs to learn from experienced professionals in the field.
\ Crowe LLP is a leading professional services firm that provides audit, tax, and consulting services to clients across various industries. Our team of experts has extensive knowledge and experience in delivering high-quality solutions to help businesses succeed.\
\
Job Summary\
\ We are seeking a highly skilled Machine Learning DevOps Engineer to join our team. As a key member of our AI Engineering group, you will be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe.\
\
Responsibilities\
\ Design, build, and maintain scalable and robust APIs that integrate with Crowe's machine learning models.\
\ Deploy and manage Kubernetes environments to ensure the reliable operation of our AI systems.\
\ Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness.\
\ Implement system architectures that support scaling and distributed computing needs.\
\ Ensure the stability and security of AI deployments through design and execution of rigorous testing and monitoring.\
\
Requirements\
\ 4-8 years' experience maintaining production-grade APIs.\
\ Software engineering experience in a production environment, with a strong background in system design and architecture.\
\ Expertise in programming languages such as Python and JavaScript.\
\ Solid understanding of scaling strategies and distributed computing principles.\
\ Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks.\
\ Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus).\
\ Experience with serverless functions, e.g., OpenFaaS.\
\
Our Benefits\
\ Competitive salary range: $94,500.00 - $212,500.00 per year.\
\ Comprehensive total rewards package, including benefits, retirement plan, and paid time off.\
\ Opportunities for career growth and advancement.\
\ Inclusive culture that values diversity and promotes work-life balance.\
\
Professional Growth\
\ Meet with your Career Coach on a consistent basis to guide you in your career goals and aspirations.\
\ Participate in regular training and development opportunities to enhance your skills and knowledge.\
\ Take advantage of mentorship programs to learn from experienced professionals in the field.
Salary : $94,500 - $212,500
