Vaga de Machine Learning Engineering Specialist

Há 12 horas

Sao Paulo, Brasil Catho Online Ltda. - BR - Specialist Tempo inteiro

EBANX is the leading payment platform connecting global companies with customers from the fastest-growing digital markets in the world.Since the beginning of our journey, we have had one mission: to provide global access for everyone. We believe that transforming challenges into opportunities and making the impossible part of the journey is crucial That's precisely why we created a payment technology that builds bridges between people and businesses every day in 29 rising markets across the globe.We call ourselves ebankers , we are global thinkers, we value diversity, we foster creativity and we work hard to connect businesses and people worldwide through payments. Let's make history together?As a Data Scientist Specialist focused on MLOPs your mission will be to:Own the design and deployment of scalable systems to train, monitor, and expose machine learning models in production.You will also be responsible for:Owning the design of system architecture to train, retrain, develop, monitor, and expose machine learning models;Design, develop, and maintain scalable infrastructure for ML pipelines and APIs;Implement and manage CI/CD pipelines for ML model deployment, updates, and continuous monitoring;Collaborate closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of ML models into production;Ensure compliance with security and privacy requirements, particularly in a financial context;Troubleshoot and optimize ML production systems, ensuring performance, reliability, and scalability;Share knowledge, mentor, and support team members in best practices for MLOps, API development, and productionization of machine learning models.What we are looking for:Bachelors or Masters degree in Computer Science, Engineering, or a related field;4+ years of experience in MLOps, DevOps, or related roles;Strong experience with cloud platforms (AWS, GCP, Azure);Proficiency in containerization tools like Docker and orchestration systems (e.g., Kubernetes);Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn);Strong Python skills with experience in writing clean, efficient, and maintainable code;Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions);Knowledge of data pipelines and ETL processes (streaming and batch);Experience in monitoring, logging, and alerting solutions for ML services (e.g., Prometheus, Grafana, DataDog);Understanding of security and compliance standards in payment systems.What else would we like to see?Knowledge of Kafka or similar event streaming platforms.Familiarity with financial services or payment systems.EBANX offers:Spanish, English, and Portuguese classes;Meal Allowance;Transportation voucher (if needed);WAVES - Program of goals and results (variable compensation);EBANX Play - Wellness (Gympass, e-Sports, SESC);EBANX Education:Financial support for undergraduate, graduate, and MBA programs so you can develop important skills for your career;EBANX Skills:Budget for workshops and courses;EBANX Flexible:Birthday Day Off;Semi-flexible hours (8 hours a day - Monday to Friday);EBANX Family:Daycare assistance, extended leave for caregivers and support program for children and pregnant women;EBANX Health:Health and Dental Insurance, with subsidy for dependents and medicine subsidy for ebankers;Life Insurance:Life Insurance 100% paid by EBANX;Blue Club:Exclusive discount for ebankers in bakeries, restaurants, courses, electronics stores, and more#J-18808-Ljbffr

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