Senior ML Engineer — Hybrid, Cutting-Edge AI & Growth

Placements24; Torreón; Hybrid; MXN 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Salary bonuses

Health insurance

Professional development

Collaborative environment

Paid time off

State-of-the-art technology

Career advancement

Hybrid work model

Job summary

Placements24 in Torreón, Coahuila is seeking a Senior Machine Learning Engineer to design, implement, and optimize ML models that drive business value. You will work across teams to define AI/ML requirements and deploy models into production, with a strong emphasis on data quality and scalable pipelines.

The ideal candidate has a PhD or MS in a quantitative field, 5+ years in ML, proficiency in Python and libraries, and experience with cloud platforms and MLOps.

Qualifications

• Master's or PhD in Computer Science, Engineering, Statistics or related quantitative field.
• Minimum 5 years of professional ML engineering experience.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, data mining, and ML algorithms.
• Experience with big data technologies (Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Responsibilities

• Design, develop, and implement advanced ML algorithms and models.
• Collaborate with cross-functional teams to define AI/ML project requirements.
• Process, clean, and transform large datasets for model training.
• Train, evaluate, and deploy ML models into production environments.
• Monitor and maintain deployed models and optimize performance.
• Stay updated with ML/AI research and advancements.
• Develop and maintain documentation for models and processes.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Big data

Cloud platforms

MLOps

NLP/Computer vision

Education

Master's or Ph.D.

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 in Torreón, Coahuila is seeking a Senior Machine Learning Engineer to design, implement, and optimize ML models that drive business value. You will work across teams to define AI/ML requirements and deploy models into production, with a strong emphasis on data quality and scalable pipelines.

The ideal candidate has a PhD or MS in a quantitative field, 5+ years in ML, proficiency in Python and libraries, and experience with cloud platforms and MLOps.