Advanced Data Scientist Position

Há 4 dias

Campinas, São Paulo, Brasil beBeeData Tempo inteiro R$150.000 - R$200.000
Job Opportunity

We are seeking a skilled Senior Data Scientist to join our organization at the LA AI & Data Center of Excellence. This role focuses on developing and deploying cutting-edge AI solutions, emphasizing automation, software engineering best practices, and production-ready code.

Key Responsibilities:
  • Lead the development of intelligent systems with a strong emphasis on software and AI engineering best practices, automation, and continuous delivery.
Essential Qualifications:
  • 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).
  • 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.
Desirable Skills:
  • Machine Learning & Deep Learning: Computer Vision.
  • Hands-on experience with multi-agent systems and autonomous AI agents (e.g., LangChain, AutoGen, LangFlow), including the Model Context Protocol (MCP).
  • Familiarity with data engineering: data warehousing and big data technologies (Spark, Hadoop, Databricks).
  • Experience with MLOps tools and practices: MLFlow, Kubeflow, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps.
  • Experience working with knowledge graphs and graph-based data representations, including tools like Neo4j, RDF, SPARQL, Stardog or graph neural networks for reasoning and relationship modeling.
  • Domain knowledge in relevant industries (e.g., HR, marketing) and ability to assess business impact and profitability of AI models, including ROI estimation.
  • Ph.D. in a relevant field.

Preferred qualifications include a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Software Engineering, IT, Mathematics, or Physics, as well as strong communication and collaboration skills, problem-solving abilities, and a passion for staying current with AI advancements.

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