Workato is the only integration and automation platform that is as simple as it is powerful — and because it's built to power the largest enterprises, it is quite powerful.
Simultaneously, it's a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.
We're proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.
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!
Responsibilities We are looking for an exceptional ML 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:
Building, extending and fixing AI services based on LLMs.
Writing well-designed, testable, efficient code in Python.
Integrating AI services with other services Postgres/Redis/S3/DynamoDB/Kafka/ClickHouse etc.
Contributing in all phases of the development lifecycle.
Providing code reviews.
Evaluating and proposing improvements.
Identifying bottlenecks and bugs, and devising solutions to these problems.
Ruby experience is a plus.
Requirements Qualifications / Experience / Technical Skills Background in information systems, computer science, engineering, or equivalent industry experience preferred.
At least 5 years of experience as ML engineer or Data Scientist.
Good python programming skills and experience with NLP models.
Good understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Soft Skills / Personal Characteristics Strong written and oral communication skills in English.
Collaborative team player seeking continuous improvement opportunities.
Adaptability to a dynamic startup environment, proactive with outside-the-box thinking.
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