AI Engineer

Description

Job Summary: Econodata is seeking an AI Engineer to join its Technology team, focused on Big Data and AI for B2B commercial intelligence, working with agile methodologies in a dynamic environment. Key Highlights: 1. Work with Big Data and AI for B2B commercial intelligence. 2. A dynamic environment with constant new challenges and a focus on emerging technologies. 3. High autonomy, room for experimentation, and direct impact. Econodata, a startup backed by Telefônica Group and founded by former UFRGS students, heavily invests in Big Data and AI to transform data into B2B commercial intelligence! **Our Technology team is growing, and we are looking for an AI Engineer to join our team—motivated to work with agile methodologies in a rapidly scaling startup!** #### **The role involves:** * Fine-tuning pre-trained models for specific applications or datasets; * Collecting, preprocessing, and managing large datasets required for training generative models; * Performing data augmentation and feature engineering to improve model performance; * Designing scalable and efficient AI systems and architectures. **This is an excellent opportunity to work in a highly dynamic environment with constant new challenges and active exploration of cutting-edge technologies.** * Degree in Computer Engineering, Computer Science, or Systems Analysis; * Expertise in deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs); * Practical experience developing and fine-tuning generative models such as GANs, VAEs, and autoregressive models; * Strong theoretical understanding of generative models and their practical applications; * Proficiency in Python programming; * Advanced skills in data preprocessing, data cleaning, and feature engineering; * Experience with cloud platforms such as Google Cloud for deploying AI models; #### **Preferred Qualifications:** * Experience with SQL and NoSQL * Knowledge of infrastructure and cloud technologies #### **Benefits and Employment Terms:** CLT employment regime; 100% remote work; Birthday day off; ️ Meal Allowance or Food Allowance: We provide the flexible Flash Benefits card, usable for both meal and food purposes at any establishment bearing the MasterCard logo; Remote Work Allowance of R$200.00; Education Allowance to support continuous professional development; Comprehensive national health insurance (Unimed or Bradesco); Emotional Well-being: App offering up to 4 monthly sessions with a psychologist/therapist; Bradesco dental plan; Wellhub (formerly Gympass): a platform providing access to numerous gyms, studios, and wellness apps; Career development plan with quarterly Personal Development Interviews (PDI); Zero dress code—wear whatever makes you most comfortable; A highly autonomous environment with space for experimentation and direct impact; * ️ Real-world applied AI challenges, leveraging rich datasets and nationwide scale.