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Machine Learning Engineering Manager - Remote

Posted 8 weeks ago
Software Development
Full Time
Mexico

Overview

The Machine Learning Engineering Manager is responsible for the whole lifecycle of our ML modeling function from the feature generation to the model rollout, leading a talented team of machine learning engineers to develop, optimize, and deploy ML models that power our fraud detection, credit risk and other applications.

In Short

  • Lead and manage a team of machine learning engineers.
  • Provide mentorship and career development to ML engineers.
  • Drive the development of new machine learning models.
  • Collaborate with global teams to deliver data science products.
  • Lead testing and integration of new data sources.
  • Work with ML Platform and Tooling team for scalable processes.

Requirements

  • Bachelor’s degree in Computer Science or related field.
  • 5+ years of experience in data science or machine learning.
  • Strong leadership and people management skills.
  • High proficiency in Python and related libraries.
  • Knowledge of ML life cycle and cloud providers.
  • Experience in credit risk modeling or fraud detection is a plus.
  • Good communication skills in English.

Benefits

  • 100% Company-funded Health and Dental insurance.
  • Life insurance.
  • Home office equipment and fitness perks.
  • 30 days of Christmas bonus.
  • 20 days paid Vacation.
  • 50% Vacation premium.
  • 13% Saving funds.
  • $2,000 MXN monthly grocery coupons.
  • $2,000 USD annual Co-working Travel perk.
  • $2,000 USD annual Professional Development perk.
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Truelogic

Truelogic is a premier provider of nearshore staff augmentation services, based in New York, with over two decades of experience in delivering high-quality technology solutions to a diverse range of clients, from startups to Fortune 500 companies. With a team of over 600 skilled tech professionals located in Latin America, Truelogic specializes in driving digital transformation and innovation through strategic partnerships with U.S. companies. The company is committed to fostering a dynamic work environment that values expertise, career growth, and collaboration on impactful projects that shape the future of technology.

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