ML Engineer – Intelligent Systems (Remote)

Placements24; Mexico; Hybrid; PHP 3,069,000 - 4,091,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health insurance

Fully remote with flexible schedule

Professional development and confs

Collaborative and innovative team

Generous PTO

Modern tools and technologies

Job summary

Placements24 in Mexico offers a remote Machine Learning Engineer role focused on Intelligent Systems. You will design, develop, and deploy ML models powering intelligent applications, collaborating with data scientists and software engineers to bring models to production.

The ideal candidate has 3+ years in ML, strong Python skills, and experience with TF/PyTorch/scikit-learn. The position emphasizes scalable ML solutions, MLOps familiarity, and staying up-to-date with state-of-the-art

Qualifications

• Bachelor's or Master's degree in CS, Engineering, AI, or related field.
• 3+ years of professional ML engineering experience.
• Strong Python proficiency and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience deploying ML models to production and collaborating with cross-functional teams.

Responsibilities

• Design, implement, and deploy ML models for intelligent systems.
• Develop ML pipelines for data preprocessing, training, and deployment.
• Collaborate with data scientists and software engineers to productionize models.
• Monitor model performance and address issues.
• Research state-of-the-art ML techniques and tools.
• Write clean, maintainable code for ML systems.
• Contribute to ML infrastructure and tooling.
• Participate in code reviews.
• Document models, systems, and processes.

Skills

Python

Problem solving

Communication

Education

Bachelor's/Master's in CS/Engineering/AI

Tools

TensorFlow

PyTorch

scikit-learn

Git

Testing

Job description

Placements24 in Mexico offers a remote Machine Learning Engineer role focused on Intelligent Systems. You will design, develop, and deploy ML models powering intelligent applications, collaborating with data scientists and software engineers to bring models to production.

The ideal candidate has 3+ years in ML, strong Python skills, and experience with TF/PyTorch/scikit-learn. The position emphasizes scalable ML solutions, MLOps familiarity, and staying up-to-date with state-of-the-art