Chief Data Architect

Há 3 dias

Curitiba, Paraná, Brasil beBeeDataScientist Tempo inteiro R$90.000 - R$120.000
Job Overview

We are seeking a skilled Data Analyst to join our team of technology professionals. If you want to work in a relaxed and dynamic environment, with daily learning opportunities on large projects, alongside major clients worldwide.

You will design and implement intelligent systems using classical and advanced machine learning techniques, collaborate with cross-functional teams to explore data, build and evaluate models, and deploy AI solutions in production environments - from cloud platforms to embedded devices.

  • This is an opportunity for both Curitiba-PR and Sorocaba-SP locations, with 2-3 days of face-to-face work at the office per week.
  • Fluency in English is mandatory.
Key Responsibilities
  • Develop and train AI-driven software systems using machine learning models
  • Explore and clean large datasets, perform feature engineering, and apply statistical analysis
  • Apply supervised, unsupervised, and semi-supervised learning methods
  • Use algorithms such as XGBoost, K-means, PCA, Neural Networks, GANs, Reinforcement Learning, LLMs, and more
  • Apply data augmentation and regularization techniques for different data types: images, time series, tabular data, and natural language
  • Train, tune, evaluate, and document ML models using modern frameworks like TensorFlow, PyTorch, and Keras
  • Prepare models for deployment in different environments (cloud, on-premises, embedded devices)
  • Collaborate with development teams to integrate models into software architecture and data pipelines
  • Write technical reports and stay up to date with the latest AI/ML trends and technologies
  • Contribute to Agile ceremonies and sprint planning within a Scrum team
Required Qualifications
  • Advanced English skills (spoken and written, technical level)
  • Proven experience building, training, and validating ML and AI models
  • Solid experience handling complex and heterogeneous data (cleaning, deduplication, preparation)
  • Strong programming skills in Python (Scala, R, and PySpark are nice-to-haves)
  • Experience with AI libraries/frameworks: TensorFlow, PyTorch, Keras, Caffe, etc.
  • Solid foundation in algorithms, statistics, regression, decision trees, neural networks
  • Experience with time series, computer vision, and NLP
  • Familiarity with Data Lake environments: Hadoop ecosystem, Spark, Kafka
  • Experience with Microsoft Azure Cloud
  • Knowledge of automated testing and white-box testing
Nice to Have
  • Experience with LLMs (Large Language Models), federated learning, and GPU acceleration
  • Deployment of models in embedded or edge devices
  • Familiarity with MLOps practices and model lifecycle in production
  • Previous experience in international or distributed teams
Bonus points for
  • Experience with international teams/projects
  • Advanced English for reading and collaboration
  • Ability to work independently in remote/distributed environments
Job Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: IT Services and IT Consulting

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