AI Architectural Lead

Há 2 dias

Uberlândia, Minas Gerais, Brasil beBeeInnovation Tempo inteiro R$200.000 - R$250.000

Job Title: Machine Learning Visionary

We are seeking a highly experienced Machine Learning Engineer to join our organization.

About Us:

We are a profitable digital media company that reaches millions of visitors through various brands.

We aim to connect consumers with leading brands through data-driven content and technology.

We have built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

About the Role

You will establish the technical vision for personalization at our organization, solving complex ML challenges and influencing strategy, architecture, and innovation across teams.

Key Responsibilities:

  • Define company-wide personalization strategy and architecture, driving alignment across all ML teams
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
  • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
  • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs

Requirements:

  • Expertise building ML systems with deep expertise in large-scale personalization
  • Recognized industry expertise through patents, publications, or significant product impact
  • Proven success architecting ML platforms serving billions of predictions in production
  • Demonstrated track record of 0→1 innovation in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models

What We Offer:

You'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Benefits include:

  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Flexible work arrangements

We're looking for someone passionate about machine learning and eager to take on new challenges.

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