AI Data Engineer (58862)

Description

Job Summary: We are seeking a Data Engineer with an AI focus to work on a challenging project, requiring experience in ML data architecture and modeling, ETL/ELT, Python, and DataOps/MLOps. Key Highlights: 1. Work on a challenging Data Engineering project focused on AI. 2. Be part of a team that values talent and dedication. 3. A collaborative environment full of challenges to accelerate your career. For over 25 years, EVT has been a reference in corporate IT solutions, driving digital transformation for its partners and clients. With a highly qualified team, we operate both in developing solutions and in staffing specialized professionals within our clients’ organizations. We serve major companies across diverse industries, always focusing on delivering cutting-edge technology, close collaboration, and results that generate real business value. At EVT, we live our values daily: **Respect, Partnership, Efficiency, Innovation, and Results.** This ensures high-quality deliveries and long-lasting relationships with our clients and partners. ✨ If you seek a collaborative environment full of challenges that accelerate your career, join a team that values the talent and dedication of every professional! Opportunity Details: **Work Mode:** Hybrid **Location:** Campos Elíseos, São Paulo – SP **Frequency:** 4 days per week **Duration:** 3 months with potential extension **Employment Type:** CLT **Responsibilities:** We are looking for a Data Engineer with an AI focus to work on a challenging project. Required experience includes ML data architecture and modeling, ETL/ELT, strong Python expertise, ML frameworks, pipeline orchestration, DataOps/MLOps, and cloud platforms. Requirements: * Experience in AI data architecture and modeling * Hands-on experience with ETL/ELT for ML/AI projects * Python (mandatory) * ML frameworks: TensorFlow, PyTorch, Scikit-Learn, MLflow * Pipeline orchestration (Airflow, Luigi, or Prefect) * Experience with DataOps and MLOps * Relational and NoSQL databases, Data Lakes, and Data Warehouses * Cloud experience (AWS, GCP, or Azure) * Feature management and storage Benefits * Meal/Voucher Card (Flash Card) * Health Insurance; * TotalPass; * Transportation Allowance or Fuel Assistance (for in-person work); * Learning incentive programs (Udemy); * Corporate English classes at affordable rates. **Hiring Process Steps:** * Registration * HR Interview * Client/Technical Interview * Contract **Shall we move forward together?**