Chief AI Development Specialist

Há 5 dias

Curitiba, Paraná, Brasil beBeeDataScientist Tempo inteiro US$100.000 - US$125.000
Job Title:

A Data Scientist with a focus on Artificial Intelligence and Machine Learning is sought after to fill this role.

The ideal candidate will design and implement intelligent systems using classical and advanced techniques. They will 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.

  • This is an opportunity to work remotely with 2-3 days of on-site presence at the office per week.
  • Fluent English is mandatory.
Key Responsibilities:
  • Design and develop software systems using ML 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 (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:
  • 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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