AI/ML Visionary

1 semana atrás


São Paulo, São Paulo, Brasil Snaphunt Tempo inteiro

About Snaphunt

We are a Next Gen IT Services Company headquartered in Georgia, USA, specializing in Data Solutions and enhancing client experiences.

Salary: $140,000 - $170,000 per year

The Job

Data Solutions Architect Overview

  • Lead iterative development, validation, and deployment of AI/ML models to drive business growth.
  • Collaborate with cross-functional stakeholders to define a long-term vision for scaling ML/AI applications in production and help teams with their roadmap plannings.

Role Responsibilities:

  1. Design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights from large-scale data sets (1B+ Rows).
  2. BUILD scalable and reliable infrastructure and pipelines for data/feature processing and storage and also scalable training and evaluation infrastructure and pipelines to accelerate model development.
  3. Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation.
  4. Partner with cross functional stakeholders to find and solve engineering pain-points by building scalable, general-use platforms.
  5. Work very closely with ML scientists and help them with model deployment in the production systems.
  6. Collaborate on end-to-end automation efforts required to bring models to production.
  7. Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset.
  8. Develop reusable code aimed at delivering on future goals faster and more reliably.
  9. Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology.

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)
  • Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and Optimization.

About You

You will be a great fit for this role if you have excellent technical skills, strong communication skills and a passion for data science.

Why Work With Us?

We offer excellent career development opportunities, a positive work environment and the chance to make a real impact on our clients' businesses.



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