<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About Workato<br/><br/></strong>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<br/><br/><strong>Why join us?<br/><br/></strong>Ultimately, Workato believes in fostering a <strong>flexible, trust-oriented culture that empowers everyone to take full ownership of their roles</strong>. We are driven by <strong>innovation </strong>and looking for<strong> team players </strong>who want to actively build our company.<br/><br/>But, we also believe in <strong>balancing productivity with self-care</strong>. 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.<br/><br/>If this sounds right up your alley, please submit an application. We look forward to getting to know you!<br/><br/><strong>Also, Feel Free To Check Out Why<br/><br/></strong><ul><li>Business Insider named us an “enterprise startup to bet your career on” </li><li>Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world </li><li>Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America </li><li>Quartz ranked us the #1 best company for remote workers <br/><br/></li></ul><strong>Responsibilities<br/><br/></strong>We are looking for an exceptional <strong>Middle / Senior Machine Learning Engineer / Data Scientist</strong> 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.<br/><br/><strong>In This Role, You Will Also Be Responsible To<br/><br/></strong><ul><li>Build and improve AI services using LLMs and custom machine learning models for production use cases. </li><li>Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring. </li><li>Write high-quality Python code that is testable, maintainable, and efficient. </li><li>Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost). </li><li>Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities. </li><li>Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization. </li><li>Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights </li><li>Contribute to technical design and code reviews, helping raise engineering quality across the team. </li><li>Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes. <br/><br/></li></ul><strong>Requirements<br/><br/></strong><strong>Qualifications / Experience / Technical Skills<br/><br/></strong><ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience </li><li>3+ years of experience in Machine Learning Engineering, Data Science, or a similar role. </li><li>Strong Python programming skills. </li><li>Hands-on experience with NLP and/or LLM-based systems. </li><li>Strong understanding of software engineering fundamentals (testing, code quality, debugging, version control). </li><li>Ability to work collaboratively in a fast-moving environment and drive projects with ownership. <br/><br/></li></ul><strong>Nice to Haves<br/><br/></strong><ul><li>Experience with tool-use agents or workflow-aware AI systems. </li><li>Experience building AI products in enterprise SaaS environments. </li><li>Experience with A/B testing and statistical significance techniques. </li><li>Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD). </li><li>Experience working with modern data warehouses such as Amazon Redshift Snowflake. <br/><br/></li></ul><strong>(REQ ID: 2898)</strong> </div>