Machine Learning Engineer

hace 4 semanas


Maracaibo, Zulia, Venezuela BairesDev A tiempo completo

We are looking for a Machine Learning Engineer to work on our Development team and participate in different projects made up of multicultural teams distributed throughout the world. As a Machine Learning Engineer at BairesDev, you will collaborate with data science and engineering teams to build Machine Learning solutions. Your main responsibilities will include creating end-to-end workflows that perform feature extraction, label generation, model development, and retraining and deployment of said models.


Key Responsibilities:

  • Collaborate with data science and engineering teams to build Machine Learning solutions.
  • Create end-to-end workflows that perform feature extraction, label generation, model development, and retraining and deployment of said models.
  • Research and implement cutting-edge deep learning architecture.
  • Work with product teams to code and deploy Machine Learning systems.
  • Design, develop, and test tools and frameworks to improve Data Science teams' productivity, speeding up the development cycle.

As a Machine Learning Engineer at BairesDev, you must have:



  • 5+ years of experience in Machine Learning.
  • Strong coding skills in Python and Spark.
  • Hands-on experience in both designing and implementing large-scale ML applications.
  • Experience with the full product lifecycle, from requirements to production.
  • Advanced English level.

We offer a supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive.


What We Offer:

  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred.
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.

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