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Machine Learning Engineer - Remote

Posted 14 weeks ago
Software Development
Full Time
Mexico

Overview

As a Machine Learning Engineer, you will play a critical role in developing and maintaining the core systems and infrastructure that power our data science applications.

In Short

  • Collaborate with global teams to deliver data science products.
  • Own the life cycle of the infrastructure for ML models.
  • Build tools for the modeling team to enhance their workflow.
  • Work with a data-driven mindset to handle data properly.
  • Organize frameworks and develop processes in the codebase.
  • Mentor engineers and data scientists on best practices.

Requirements

  • Bachelor’s degree in Computer Science or related field.
  • 3+ years of experience in machine learning or data engineering.
  • Good verbal and written communication skills in English.
  • Comprehensive knowledge of the ML life cycle.
  • High proficiency in Python and related libraries.
  • Experience with feature store implementation.
  • Experience with cloud providers, preferably AWS.
  • Able to work in a fast-paced environment.

Benefits

  • 100% Company-funded Health and Dental Insurance.
  • Life insurance.
  • Indefinite-term contract.
  • 20 days of vacation.
  • Phone finance, home office equipment perks.
  • $2,000 USD annual Co-working Travel.
  • $2,000 USD annual Professional Development perk.
Truelogic logo

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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