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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 This role develops and operates large‑scale Machine Learning models to detect and prevent fraud, owning the full ML lifecycle from experimentation to production. You will build scalable pipelines, ensure system reliability in high‑volume environments, and collaborate with engineering and product teams to evolve the Anti‑Fraud platform .Main responsibilities :Design, train, and deploy production‑grade ML models, including text classification, anomaly detection, 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, Product, and Anti‑Fraud 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 .Promote best practices in experimentation, reproducibility, monitoring, and documentation .REQUIREMENT SExperience building and deploying ML systems in production .Strong Python skills and hands‑on experience with ML libraries (Scikit‑learn, TensorFlow, PyTorch) .Experience with large‑scale data processing frameworks (e.g., Databricks, Spark) .Experience designing and maintaining production ML pipelines .Solid understanding of system design, scalability, and reliability .Experience with cloud platforms (preferably AWS) .Strong problem‑solving skills and ability to work autonomously .Advanced or fluent English .Big Plus :Experience with large‑scale text classification, anomaly detection, or image classification .Background in fraud detection or high‑risk/high‑volume environments .Familiarity with orchestration tools (Airflow, Dagster) .Experience with Docker and Kubernetes .Experience working with Lakehouse architectures . OUR HIRING PROCES S We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to exce l.We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with u s! BENEF ITSSTAY HEALTH Y: We cover 100% of medical and dental plans for Sinchers and eligible dependents through Bradesco Saú de.FLEXIBLE BENEFIT S: With the Caju flexible benefit card, our Sinchers can choose to use benefits on food, education, and home office assistan ce.FAMILY FIRS T: Our Sinchers can enjoy paid maternity leave for 180 days and paternity leave for 30 days. Plus, we provide daycare assistance for kids up to five years o ld.EVERYDAY WELLBEIN G: We partner with Wellhub to help Sinchers access gyms and wellness optio ns.SECURE YOUR FUTU RE: Our Partnership with Prudential life insurance provides coverage for all Sinchers in the events of unexpected absences, serious illness, accidents, and disabiliti es.DIVERSITY AND INCLUSIO N: We offer annual reimbursements for certain expenses related to disabilities and/or transgender nee ds.TAKE A BRE AK: Our Sinchers can take a day off on their birthday to celebrate with their loved on es.