Data, AI Analyst

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create AI models aimed at the research and intelligent recommendation of activity codes.

• Develop automated routines for extracting quantities from 3D engineering models.

• Construct and sustain data pipelines (ETL/ELT) that are integrated with the Microsoft Azure environment.

• Perform exploratory analyses on pricing history and market references.

• Collaborate with architects and developers to incorporate AI/data models into applications through APIs.

• Oversee the performance, quality, and accuracy of models in production.

• Document models, data sources, technical choices, and trade-offs made during development.

• Engage in the squad's agile ceremonies.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related disciplines.

• Proficiency in Python and experience with Machine Learning/Data Science libraries.

• Familiarity with data and AI services in the Microsoft Azure ecosystem (e.g., Azure Machine Learning, Azure Data Factory, Databricks).

• Experience with relational databases (SQL Server/Azure SQL Database).

• Understanding of agile methodologies and experience working in multidisciplinary teams.

• Knowledge of BIM and platforms like Autodesk Construction Cloud (ACC) is advantageous.

• Experience with NLP techniques for search and item recommendations is a plus.

• Experience in CAPEX projects or engineering cost estimation is a plus.

🏝️ Benefits

• Flash card with a meal/food allowance of R$ 32.00 per day.

• Home office allowance of R$ 100.00/month and flexible working hours.

• SulAmérica Health Plan and Bradesco Dental Plan, with the option to add dependents.

• Access to WellHub, TotalPass, and UniCamente for overall wellness support.

• Onhappy, a corporate and leisure travel platform offering exclusive discounts.

• Guapeco Pet Health Plan to ensure your pet's health care.

• Discount & Rewards Club, providing discounts at various retail networks.

• Extended maternity and paternity leave.

• Birthday day off.

• No dress code.

• Continuous Training and Development Incentive Program.

• Employee Referral Program.