Data Science Specialist

1 semana atrás

Curitiba, Paraná, Brasil beBeeMachine Tempo inteiro R$65.000 - R$95.000
Senior Machine Learning Engineer

We are seeking a highly qualified Machine Learning Engineer with expertise in Artificial Intelligence to join our technology team. You will work on designing and implementing intelligent systems using classical and advanced machine learning techniques.

  • This is an exciting opportunity for a hybrid role in Curitiba-PR and Sorocaba-SP, requiring 2-3 days of presence per week at the office.
  • In-depth knowledge of English is mandatory.
Key Responsibilities
  • Design, develop, and deploy AI-driven software systems using ML models.
  • Analyze large datasets, perform feature engineering, and apply statistical analysis.
  • Apply supervised, unsupervised, and semi-supervised learning methods.
  • Utilize algorithms like XGBoost, K-means, PCA, Neural Networks, GANs, Reinforcement Learning, LLMs, and more.
  • Implement 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 various environments (cloud, on-premises, embedded devices).
  • Collaborate with development teams to integrate models into software architecture and data pipelines.
  • Write technical reports and stay updated with the latest AI/ML trends and technologies.
  • Contribute to Agile ceremonies and sprint planning within a Scrum team.
Required Skills and Qualifications
  • Advanced English skills (spoken and written, technical level).
  • Proven experience building, training, and validating ML and AI models.
  • 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
  • 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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