Machine Learning Engineer - Barcelona, España - Workato

Workato

Empresa verificada

Barcelona, España

hace 2 semanas

Publicado por:

Isabel García

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Descripción

About Workato:

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.

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.

Also, feel free to check out why:

Business Insider named us an "enterprise startup to bet your career on"
Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers

Responsibilities:

We are looking for an exceptional
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:

Build, extend, and fix AI services based on LLMs and other models.
Write welldesigned, testable, efficient services in Python (FastAPI, Pydantic).
Integrate AI services with other services (Ruby monolith and other micro services, MLflowserviced models, other APIs).
Contribute in all phases of the development lifecycle:
Provide code reviews
Evaluate and propose improvements
Identify bottlenecks and bugs, and devise solutions to these problems.

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 MLflow/Sagemaker or other way of model inference in productions.
Good understanding of DB technologies: classic databases and vector DB.
Ruby experience as a plus.

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 outsidethebox thinking.