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Data Science Engineer

2 meses atrás

São Paulo, São Paulo, Brasil Snaphunt Tempo inteiro

About the Role

We are seeking a highly skilled Data Science Engineer to join our team at Snaphunt. As a key member of our Data Science team, you will be responsible for leading the development, validation, and deployment of AI/ML models.

Key Responsibilities

  • Collaborate with cross-functional stakeholders to define a long-term vision for scaling ML/AI applications in production.
  • Develop and maintain scalable and reliable infrastructure and pipelines for data/feature processing and storage.
  • Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation.
  • Provide technical mentorship to junior engineers and act as a technical leader for the ML engineering domain.
  • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards.
  • Visualize and report data findings creatively in a variety of visual formats.

Requirements

  • A minimum of 4+ years in the Data space as an analyst, engineer, scientist or equivalent.
  • 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (GCP, BigQuery, BigTable preferred).
  • Expert Java, Python, SQL and Advanced GCP (especially Gemini/Vertex AI).
  • Highly skilled with distributed processing architecture and ML/Data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLFlow, etc).

About Us

Our client is a Next Gen IT Services Company headquartered in Georgia, USA, specializing in Data Solutions and enhancing client experiences. We deliver Business and IT Solutions that exemplify quality, efficiency, and budget-consciousness.