ARCHITECT (AWS/GCP & AI/ML SUPPORT), BRAZIL

Architect (AWS/GCP & AI/ML Support), Brazil - We combine the disruptive power of Artificial Intelligence with human expertise to support large companies in navigating changes in technology and business. With 30 years of experience, 6,000 workers, offices in 10 countries and talents across 5 continents, we operate in the fields of design, strategy, and engineering for global brands, helping clients achieve the full potential of technology as a force for good. Impact is what we deliver. Mission: As an Architect specializing in Cloud and AI/ML Support, your mission is to assist in the design and implementation of cloud-based architectures and AI/ML solutions. You will gain valuable experience in developing scalable, efficient, and innovative cloud solutions that leverage the power of artificial intelligence and machine learning. Responsibilities: Support the design and implementation of cloud-based architectures, focusing on AWS and Google Cloud Platform (GCP). Assist in the development and deployment of AI/ML pipelines, ensuring they are optimized for performance and scalability. Collaborate with data scientists, engineers, and other stakeholders to gather requirements and translate them into effective cloud solutions. Participate in the evaluation and selection of appropriate cloud services and tools for AI/ML projects. Assist in creating and maintaining technical documentation, including architecture diagrams and deployment plans. Support the integration of AI/ML models into cloud applications and workflows. Stay updated on the latest cloud technologies, AI/ML frameworks, and industry trends to provide informed recommendations. Requirements: Strong understanding of cloud computing principles and services, particularly AWS and GCP. Familiarity with AI/ML concepts, frameworks, and tools (e. g. , TensorFlow, PyTorch, scikit-learn). Understanding of data processing and storage solutions, such as databases, data lakes, and data warehouses. Strong analytical and problem-solving skills, with a willingness to learn and adapt. Excellent communication skills and the ability to work collaboratively in a team environment. A passion for continuous learning and staying current with advancements in cloud computing and AI/ML technologies. Advanced English level. Nice to Haves: Relevant certifications in cloud platforms (e. g. , AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect). Experience with machine learning deployment tools (e. g. , MLflow, Kubeflow). Familiarity with containerization technologies (e. g. , Docker, Kubernetes) and serverless architectures. Knowledge of programming languages commonly used in AI/ML (e. g. , Python, R). CI&T is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI&Ters identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow. At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies. #J-18808-Ljbffr