Advanced Analytics Professional

Há 4 dias

Buenos Aires, Brasil beBeeDataScientist Tempo inteiro US$150.000 - US$200.000
Key Data Science Role

Azumo is seeking a highly motivated data scientist to develop and enhance data and analytics infrastructure in a remote position based in Latin America.

This role offers the opportunity to collaborate with a dynamic team of talented data scientists in big data analytics. If you have a passion for designing and implementing advanced machine learning and deep learning models, this is the perfect fit for you.

Main Responsibilities:
  • Data Model Development & Productionization
    • Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting)
    • Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch
    • Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)
  • Data Engineering & MLOps
    • Ingest, clean, and transform large datasets using pandas, NumPy, Spark
  • Automate Training and Serving Workflows
    • Using Airflow or similar tools
  • Monitor Model Performance
    • And iterate on drift detection and retraining strategies
  • Software Development Best Practices
    • Write production-grade Python code following SOLID principles, unit tests, and code reviews
    • Collaborate in Agile (Scrum) ceremonies; track work in JIRA
  • Document Architecture and Workflows
    • Using PlantUML or comparable tools
  • Cross-Functional Collaboration
    • Communicate analysis, design, and results clearly in English
    • Partner with DevOps, data engineering, and product teams to align on requirements and SLAs

The ideal candidate will have expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and experience working with PyTorch.

Requirements:

  • Bachelor's or Master's in Computer Science, Data Science, or related field
  • 5+ years of professional experience with Python in production environments
  • Solid background in machine learning & deep learning (CNNs, Transformers)
  • Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization)
  • Proven track record deploying ML solutions
  • Expert in pandas, NumPy, and scikit-learn
  • Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence)
  • Strong foundation in statistics and experimental design
  • Excellent written and spoken English

Preferred qualifications include experience with cloud platforms (AWS, GCP, or Azure), familiarity with big-data ecosystems (Spark, Hadoop), practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes), exposure to MLOps tools (MLflow, Kubeflow, TFX), and experience with large language models and prompt engineering.

Azumo values professional and personal growth, offering paid time off, holidays, training, Udemy free Premium access, mentored career development, free English courses, profit sharing, and remuneration.

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