Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Machine Learning Engineer to join our growing team. In this role, you will be involved in the development of AI products. You will also be responsible for:
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Build, extend and fix AI services using LLMs and custom ML models
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Write well-designed, testable, efficient code in Python
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Improve validation and performance monitoring of ML services
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Contribute to all phases of the development lifecycle
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Participate in designing and implementing solutions
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Evaluate and propose improvements to existing implementations
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Identify bottlenecks and bugs, and devise solutions to these problems
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Provide code reviews
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RequirementsQualifications / Experience / Technical Skills
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Background in information systems, computer science, engineering, or equivalent industry experience preferred.
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At least 5 years of experience as ML engineer or Data Scientist
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Good python programming skills and experience with NLP models
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Experience deploying and running ML services in production
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Good understanding of network protocols and stacks
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Working experience with relational and non-relational databases
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LLMops/MLops experience is a strong plus
Soft Skills / Personal Characteristics
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Strong written and oral communication skills in English
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Collaborative team player seeking continuous improvement opportunities.
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Adaptability to a dynamic startup environment, proactive with outside-the-box thinking
(REQ ID: 1946)
