Senior Machine Learning Engineer

hace 6 días


barcelona, España Manychat A tiempo completo

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, TikTok, Facebook Messenger, WhatsApp, and more. Trusted by over 1 million brands in 170+ countries, we're an official Meta Business Partner, backed by top investors, including Summit Partners and BVP. With 300+ teammates across international offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam — Manychat helps creators and businesses across the globe grow faster, engage better and sell more on social and messaging apps. Manychat automates millions of conversations each day, helping to build connections and drive value for over a million creators and businesses around the world. We're seeking an experienced Machine Learning Engineer to join our ML and AI squad, and help us translate our rich data into helpful, delightful, and valuable user experiences. Reporting to the Head of Data, you’ll work closely with ML scientists and Data engineers to translate ML and AI models into reliable, scalable machine learning solutions. This is a high-impact role that blends engineering excellence with Machine Learning innovation. Design, develop, and deploy ,in collaboration with ML Scientists and Data Engineers, production level machine learning models and AI applications. Ensure scalability, efficiency, and accuracy of deployed ML and AI models Evaluate potential architecture solutions and tooling. Maintain clean, reproducible, and scalable ML code and pipelines. Drive a strong MLOps culture standardizing best practices for CI/CD, model governance, observability, and reliability 6+ years of proven experience as a Machine Learning Engineer, or equivalent. Highly proficient in Python, and good knowledge of SQL. An additional strongly typed language is a plus. Demonstrated experience in the principles of ML. Experience building, testing, deploying, monitoring, and maintaining ML in production. Cloud and data infrastructure experience (e.g., AWS, Snowflake, Sagemaker, Redis) Experience in integrating new Machine Learning tooling, core frameworks (e.g. PyTorch/TensorFlow), orchestration (e.g. Airflow), and containerisation (e.g. Docker/K8s). Experience in building MLOps tooling and processes. Track record of project leadership, cross-team collaboration, and coordination with Product Managers and Engineering teams. Bonus points for knowledge and experience in building, testing, deploying, monitoring, and maintaining LLM models (Prompt engineering, RAG, Fine tuning, LLM ops tooling). We care deeply about your growth, well-being, and comfort: Hybrid onboarding to start work remotely and relocation support for you and your family. Comprehensive health insurance for both you and your family. Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.



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