Ingeniero ML - Recomendación Hybrid en Cancún

Placements24; Cancún; Hybrid; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Paid time off

Professional development opportunities

Job summary

Placements24 is seeking an Ingeniero de Machine Learning to design, develop, and deploy advanced recommendation systems in Cancún. You will work with large-scale datasets, apply collaborative and content-based filtering, and explore hybrid approaches to personalize user experiences.

The role requires a strong background in ML, Python, and major ML libraries, with 3+ years focused on recommendations. A hybrid work setup in Cancún is offered to balance on-site collaboration with flexible remote

Qualifications

• Master's or PhD in Computer Science, ML, Statistics, or a related field.
• 3+ years of experience in machine learning with a significant focus on recommender systems.
• Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.

Responsibilities

• Design, develop, and implement machine learning models for recommendation systems.
• Utilize collaborative filtering, content-based filtering, and deep learning for personalized recommendations.
• Process and analyze large datasets to extract features and build training data.
• Evaluate and iterate on model performance with metrics like precision, recall, and user engagement.
• Collaborate with product managers and engineers to integrate recommendation engines into apps.
• Conduct A/B testing and experiments to measure the impact of recommendation algorithms.
• Stay up-to-date with latest research in recommendation systems and ML.
• Optimize models for performance, scalability, and real-time serving.

Skills

Python

Problem-solving

Teamwork

Communication

Education

Master's or PhD in Computer Science/Machine Learning/Statistics

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Job description

Placements24 is seeking an Ingeniero de Machine Learning to design, develop, and deploy advanced recommendation systems in Cancún. You will work with large-scale datasets, apply collaborative and content-based filtering, and explore hybrid approaches to personalize user experiences.

The role requires a strong background in ML, Python, and major ML libraries, with 3+ years focused on recommendations. A hybrid work setup in Cancún is offered to balance on-site collaboration with flexible remote