Descripción
ABOUT SINCH Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email. Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey. At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation! DESCRIPTION We are looking for a Machine Learning Engineer to join our team and help build the next generation of communication technology. In this role, you will be responsible for the end-to-end lifecycle of machine learning models that power our products, impacting millions of users. Design, train, and deploy production-grade ML models, including text classification and image classification. Own the full ML lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement. Build and maintain scalable data pipelines for preprocessing, validation, and transformation of large datasets. Ensure ML systems are reliable, observable, and scalable in high-volume production environments. Collaborate closely with Engineering and Product teams from problem definition to delivery. Implement and optimize ML algorithms using Python and frameworks like TensorFlow, PyTorch, and Scikit-learn. Optimize model and system performance in cloud environments, particularly AWS. Experience with FastAPI development and monitoring. Promote best practices in experimentation, reproducibility, testing, monitoring, and documentation. REQUIREMENTS Experience building and deploying ML systems in production. Strong Python skills and hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch) and API development (FastAPI). Ex