Senior · Удалённо · Барселона, Испания · Английский B2
Навыки
A/B-тесты
AI-агенты
CI/CD
Отладка и поиск ошибок
Git
LLM
Machine Learning
Ещё 9
MLOps
NLP
Мониторинг и observability
Ответственность за результат
Продуктовые метрики
Python
Redshift
Snowflake
Статистика
О компании и продукте
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
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!
Задачи
We are looking for an exceptional Middle / Senior Machine Learning Engineer / Data Scientist to join our growing AI team
In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform
You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems
In this role, y ou will also be responsible to
Build and improve AI services using LLMs and custom machine learning models for production use cases
Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring
Write high-quality Python code that is testable, maintainable, and efficient
Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost)
Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities
Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization
Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights
Contribute to technical design and code reviews , helping raise engineering quality across the team
Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes
Требования
Qualifications / Experience / Technical Skills
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience
3+ years of experience in Machine Learning Engineering, Data Science , or a similar role
Strong Python programming skills
Hands-on experience with NLP and/or LLM-based systems
Strong understanding of software engineering fundamentals (testing, code quality, debugging, version control)
Ability to work collaboratively in a fast-moving environment and drive projects with ownership
Будет плюсом
Experience with tool-use agents or workflow-aware AI systems
Experience building AI products in enterprise SaaS environments
Experience with A/B testing and statistical significance techniques
Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD)
Experience working with modern data warehouses such as Amazon Redshift Snowflake
(REQ ID: 2898)
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История публикации
Появилась в Вакандии26 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 26 дней назад
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Workato
50 активных вакансий · вилка работодателя указана в 2%