ph3About Workato /h3 pWorkato 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 /p h3Why join us? /h3 pUltimately, Workato believes in fostering a bflexible, trust-oriented culture that empowers everyone to take full ownership of their roles /b. We are driven by binnovation /band looking forb team players /bwho want to actively build our company. /p pBut, we also believe in bbalancing productivity with self-care /b. 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. /p pAlso, feel free to check out why: /p ul liBusiness Insider named us an enterprise startup to bet your career on /li liForbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world /li liDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America /li liQuartz ranked us the #1 best company for remote workers /li /ul h3Responsibilities /h3 pWe are looking for an exceptional bMiddle / Senior Machine Learning Engineer / Data Scientist /b 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 adecuado for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems. /p pIn this role, you will also be responsible to: /p ul libBuild and improve AI services /b using LLMs and custom machine learning models for production use cases. /li libDesign, develop, and operate ML/LLM systems /b end-to-end, from prototyping to deployment and monitoring. /li libWrite high-quality Python code /b that is testable, maintainable, and efficient. /li libImprove validation, observability, and performance monitoring /b for ML services (quality, latency, reliability, cost). /li libPartner cross-functionally /b with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.



/li libEvaluate and improve existing implementations /b by identifying bottlenecks, bugs, and opportunities for optimization. /li libDesign controlled experiments /b to test the features for our AI-based products and perform deep analysis from the results to find actionable insights /li libContribute to technical design and code reviews /b, helping raise engineering quality across the team. /li libExperiment and iterate /b on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes. /li /ul h3Requirements /h3 h3Qualifications / Experience / Technical Skills /h3 ul liBachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience /li lib3+ years /b of experience in bMachine Learning Engineering, Data Science /b, or a similar role. /li liStrong bPython /b programming skills. /li liHands-on experience with bNLP and/or LLM-based systems /b. /li liStrong understanding of bsoftware engineering fundamentals /b (testing, code quality, debugging, version control). /li liAbility to work collaboratively in a fast-moving environment and drive projects with ownership. /li /ul h3Nice to Haves /h3 ul liExperience with tool-use agents or workflow-aware AI systems. /li liExperience building AI products in enterprise SaaS environments. /li liExperience with A/B testing and statistical significance techniques. /li liExperience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD). /li liExperience working with modern data warehouses such as Amazon Redshift Snowflake. /li /ul /p #J-18808-Ljbffr

📌 Senior Data Scientist (Barcelona)
🏢 Workato
📍 Barcelona