Data Science Engineer

4 semanas atrás


São Paulo, São Paulo, Brasil Snaphunt Tempo inteiro

Job Overview

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

Key Responsibilities

  • Lead iterative development, validation, and deployment of AI/ML models
  • Work closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms
  • Build 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
  • Partner with cross-functional stakeholders to define a long-term vision for scaling ML/AI applications in production
  • Provide technical mentorship to junior engineers and act as a technical leader for the ML engineering domain

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. Our client core objectives are to deliver Business and IT Solutions that exemplify quality, efficiency, and budget-consciousness.


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