Senior AI/ML Scientist — Production-Ready Modeling

MURAL; Monterrey; Presencial; MXN 1,094,000 - 1,460,000; Jornada completa

Descripción de la vacante

A dynamic tech company based in Monterrey is seeking an experienced AI/ML Engineer to innovate and drive product solutions using machine learning. You will design and deploy advanced models, collaborating closely with Data Engineers and product teams to ensure high-quality implementation. The ideal candidate should possess over 4 years of experience with large-scale ML systems, proficiency in Python and cloud-based platforms, and a passion for solving complex problems with AI solutions. Join us for an exciting opportunity to impact customer experiences significantly.

Formación

• 4+ years of experience designing, building, and deploying large scale ML systems.
• Deep expertise in supervised and unsupervised learning and deep learning techniques.
• Proficiency in Python and SQL.

Responsabilidades

• Design, implement, and deploy AI/ML models for classification, regression, and recommendation.
• Collaborate with teams to integrate ML models into production systems.
• Analyze and visualize model outputs to drive product decisions.

Conocimientos

Design large scale ML systems

Translation of business problems into ML solutions

Supervised and unsupervised learning

Python (NumPy, Pandas, scikit-learn)

Cloud-based ML platforms (AWS, Azure, GCP)

Herramientas

TensorFlow

PyTorch

Hadoop

Spark

Descripción del empleo

A dynamic tech company based in Monterrey is seeking an experienced AI/ML Engineer to innovate and drive product solutions using machine learning. You will design and deploy advanced models, collaborating closely with Data Engineers and product teams to ensure high-quality implementation. The ideal candidate should possess over 4 years of experience with large-scale ML systems, proficiency in Python and cloud-based platforms, and a passion for solving complex problems with AI solutions. Join us for an exciting opportunity to impact customer experiences significantly.