People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it!
At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.
We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! #lifeatsage #sagecareers. If you would like support with your application (or require any adjustments) please contact us at email@example.com for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.
EOE AA/M/F/Vet/Disability Sage Software is an Equal Opportunity Employer. We comply with the laws set forth in the Equal Employment Opportunity in The Law poster: http://1sa.ge/EjaS30kzhpR
Who we are: Sage Artificial Intelligence Labs SAIL is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights.
We are currently hiring a Senior Software Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company’s Data Science and Machine Learning effort.
If you value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!
You will: Build web-based portals to monitor and manage all aspects of data processing and machine learning model building and deployment Develop our internal toolset to support our machine learning systems and our own efficiency Collaborate with our AI Infrastructure team to extend the capabilities of our machine learning platform and tools Monitor and optimize the quality and performance of our pipelines, services, and tools You have: Experience using modern approaches to building simple interactive web UIs Experience with the full stack of web development, including SQL databases, performent backend code, background workers etc Expert knowledge and experience with several relevant programming languages (incl. Python), frameworks and databases (incl. DynamoDB, Postgres) Extensive experience with cloud environments (we use AWS) Ability to write highly performant code taking care of large volumes of data Excellent written and verbal communication skills, and ability to evaluate and explain technical details clearly Willingness to adapt to significant changes in either technology or environment What's it like to work here You will have an opportunity to work in an environment where engineering is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable, and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.
Build web-based portals to monitor and manage all aspects of data processing and machine learning model building and deployment Develop our internal toolset to support our machine learning systems and our own efficiency Collaborate with our AI Infrastructure team to extend the capabilities of our machine learning platform and tools Monitor and optimize the quality and performance of our pipelines, services, and tools