AI Expert for AI Development

Há 4 dias


Campinas, São Paulo, Brasil beBeeDataScientist Tempo inteiro US$90.000 - US$120.000
Senior Data Scientist Job Description

The LA AI & Data Center of Excellence is seeking a highly skilled and motivated Senior Data Scientist to join our team. This role focuses on developing and deploying cutting-edge AI solutions, emphasizing automation, software engineering best practices, and production-ready code.

This role requires proficiency in Python programming and experience with various machine learning, deep learning, generative and agentic AI.

  • Key Responsibilities:
  • Lead the development of intelligent systems with a strong emphasis on software and AI engineering best practices, automation, and continuous delivery.
  • Work on projects across diverse business units, directly impacting critical decision-making and driving innovation.

Required Skills and Qualifications:

We are looking for candidates with:

  • Strong experience in Data Science, Machine Learning, or AI Engineering roles, demonstrating a history of delivering impactful AI solutions.
  • Expert-level Python programming, including Pandas, Polars, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, and experience with RESTful API development.
  • Strong software engineering foundation: Version control (Git), unit testing, CI/CD pipelines, Clean Code principles, and containerization (Docker, Kubernetes).
  • Strong understanding of programming logic and object-oriented programming (OOP) principles to design modular, reusable, and maintainable code structures.
  • Proven experience in end-to-end ML lifecycle: data preparation, model training, tuning, inference, deployment, monitoring, and retraining.
  • Data handling expertise: Extraction, cleaning, transformation, and loading (ETL) from various sources (relational and non-relational databases, cloud storage, APIs). Experience with SQL, NoSQL and vector databases.
  • Machine Learning & Deep Learning: Supervised and unsupervised learning techniques, including regression, classification, clustering, time series, and NLP (Natural Language Processing).
  • Natural Language Processing (NLP): Experience with text preprocessing, pre-trained models (BERT, Roberta), fine-tuning, and NLP libraries (scikit-learn, spaCy, NLTK, Gensim).
  • Experience with Generative AI (e.g., LLMs, prompt engineering, fine-tuning, RAG pipelines).
  • Experience with cloud platforms: Azure (preferred), GCP or AWS, including their respective AI/ML services (e.g., Azure AI services).
  • Strong understanding of model evaluation, feature engineering, and hyperparameter tuning.

Benefits:

  • Excellent opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional development and growth opportunities.

Others:

  • Portuguese (Brazilian) and fluent in English. German is a plus.

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