What are the responsibilities and job description for the Artificial Intelligence DevOps Lead position at Crowe LLP?
Join Our Team\
\ At Crowe LLP, we are committed to delivering exceptional service to our clients by providing innovative solutions and expert guidance. We are seeking a talented Machine Learning DevOps Engineer to join our AI Engineering group and contribute to our mission of shaping the future of human work.\
\
About the Role\
\ As a Machine Learning DevOps Engineer, you will play a critical role in ensuring the successful deployment and operation of machine learning models at Crowe. Your responsibilities will include designing, building, and maintaining scalable APIs and Kubernetes environments, collaborating with Machine Learning Engineers teams, and implementing system architectures that support scaling and distributed computing needs.\
\
Key Responsibilities\
\ Develop and maintain scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe.\
\ 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.\
\ Work closely with cross-functional teams to ensure seamless integration of AI solutions with existing systems and processes.\
\
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.\
\
What We Offer\
\ 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.\
\
Grow Your Career\
\ 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.
\ At Crowe LLP, we are committed to delivering exceptional service to our clients by providing innovative solutions and expert guidance. We are seeking a talented Machine Learning DevOps Engineer to join our AI Engineering group and contribute to our mission of shaping the future of human work.\
\
About the Role\
\ As a Machine Learning DevOps Engineer, you will play a critical role in ensuring the successful deployment and operation of machine learning models at Crowe. Your responsibilities will include designing, building, and maintaining scalable APIs and Kubernetes environments, collaborating with Machine Learning Engineers teams, and implementing system architectures that support scaling and distributed computing needs.\
\
Key Responsibilities\
\ Develop and maintain scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe.\
\ 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.\
\ Work closely with cross-functional teams to ensure seamless integration of AI solutions with existing systems and processes.\
\
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.\
\
What We Offer\
\ 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.\
\
Grow Your Career\
\ 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
