Senior Machine Learning Specialist

2 semanas atrás

Curitiba, Paraná, Brasil beBeeDataEngineer Tempo inteiro R$120.000 - R$150.000

Job Title: Data Engineer


We are looking for a highly skilled Data Scientist to join our technology team. If you want to work with us in a relaxed and dynamic environment, with daily learning on large projects, alongside great clients worldwide.

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

  • A hybrid opportunity for Curitiba-PR and Sorocaba-SP, with 2-3 times a week presence in the office.
  • English is mandatory.
Key Responsibilities
  • Design and develop AI-driven software systems using ML models
  • Explore and clean large datasets, perform feature engineering, and apply statistical analysis
  • Apply and combine 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 (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
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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