Senior ML Engineer — Remote, End-to-End AI

BairesDev; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading technology firm is looking for a Machine Learning Developer to join its remote team. The role involves collaborating with data science and engineering teams to build Machine Learning solutions, creating workflows for model development, and implementing deep learning architectures. Candidates should have over 5 years of experience in Machine Learning, strong Python and Spark skills, and be capable of handling the full product lifecycle. This position offers flexibility and excellent compensation, enabling a balance between work and personal life.

Servicios

100% remote work

Excellent compensation

Flexible hours

Paid parental leaves

Supportive environment

Formación

• 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.

Responsabilidades

• 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 team to code and deploy machine learning systems.
• Design, develop and test tools and frameworks to improve Data Science teams productivity.

Conocimientos

Python

Spark

Machine Learning

Deep Learning

Descripción del empleo

A leading technology firm is looking for a Machine Learning Developer to join its remote team. The role involves collaborating with data science and engineering teams to build Machine Learning solutions, creating workflows for model development, and implementing deep learning architectures. Candidates should have over 5 years of experience in Machine Learning, strong Python and Spark skills, and be capable of handling the full product lifecycle. This position offers flexibility and excellent compensation, enabling a balance between work and personal life.