Ingeniero de IA (Sistemas de Recomendación) en Saltillo

Placements24

Saltillo

Hybrid

MXN 900,000 - 1,200,000

Full time

6 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401k with company match
Hybrid work model
Professional development allowances

Job summary

Placements24 is seeking an AI Engineer specializing in Recommendation Systems to join our Saltillo team. You will design, develop, and deploy scalable recommendation engines handling large datasets and using matrix factorization, deep learning, and hybrid approaches.

The role requires 4+ years in ML, strong Python, and cloud experience. You will collaborate with product managers and engineers, improve models via A/B tests, and contribute to personalization strategies in a hybrid Saltillo-based

Qualifications

  • Master's degree in Computer Science, Data Science, or a related quantitative field.
  • 4+ years of experience in developing and deploying recommendation systems or related ML applications.
  • Strong programming skills in Python and experience with ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Proficiency with data manipulation and analysis tools (Pandas, Spark).
  • Deep understanding of recommendation algorithms (matrix factorization, deep learning for recommendations).
  • Experience with big data technologies and cloud platforms (AWS, Azure, GCP).
  • Excellent analytical and problem-solving abilities.
  • Strong communication and teamwork skills.

Responsibilities

  • Design, build, and maintain scalable recommendation systems using ML algorithms.
  • Develop and implement hybrid recommendation approaches combining collaborative and content-based filtering.
  • Utilize deep learning models for advanced recommendation tasks.
  • Analyze user behavior and interaction data to identify patterns and improve recommendations.
  • Collaborate with product managers and engineers to integrate recommendation features into products.
  • Monitor system performance, conduct A/B tests, and iterate on models for continuous improvement.
  • Research and apply the latest advancements in recommendation system research.
  • Ensure data quality and integrity for model training and inference.

Skills

Python programming
Analytical thinking
Teamwork
Communication
Big data handling

Education

Master's degree in Computer Science or Data Science

Tools

scikit-learn
TensorFlow
PyTorch
Pandas
Spark

Job description

About the Role

Our client is looking for a skilled Ingeniero de IA specializing in Sistemas de Recomendación to join their dynamic team in Saltillo, Coahuila . This role is essential for designing, developing, and implementing intelligent recommendation engines that personalize user experiences and drive engagement. You will work with large-scale datasets, employing advanced machine learning techniques to create sophisticated algorithms. The ideal candidate will have a strong background in collaborative filtering, content-based filtering, and deep learning approaches to recommendations. This is a fantastic opportunity to work on challenging projects that directly impact product strategy and user satisfaction. We are seeking a proactive individual who is passionate about leveraging AI to deliver exceptional customer experiences. Your expertise will be crucial in optimizing recommendation performance and exploring new frontiers in personalization technology. Join our client to innovate in the field of recommendation systems in Saltillo .

Key Responsibilities
  • Design, build, and maintain scalable recommendation systems using ML algorithms.
  • Develop and implement hybrid recommendation approaches combining collaborative and content-based filtering.
  • Utilize deep learning models for advanced recommendation tasks.
  • Analyze user behavior and interaction data to identify patterns and improve recommendations.
  • Collaborate with product managers and engineers to integrate recommendation features into products.
  • Monitor system performance, conduct A/B tests, and iterate on models for continuous improvement.
  • Research and apply the latest advancements in recommendation system research.
  • Ensure data quality and integrity for model training and inference.
Requirements
  • Master's degree in Computer Science, Data Science, or a related quantitative field.
  • 4+ years of experience in developing and deploying recommendation systems or similar ML applications.
  • Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Proficiency with data manipulation and analysis tools (e.g., Pandas, Spark).
  • Deep understanding of recommendation algorithms (e.g., matrix factorization, deep learning for recommendations).
  • Experience with big data technologies and cloud platforms (AWS, Azure, GCP).
  • Excellent analytical and problem-solving abilities.
  • Strong communication and teamwork skills.
Benefits
  • Our client offers a competitive salary, comprehensive health, dental, and vision insurance, a 401k plan with company match, and numerous opportunities for career advancement.
  • We support a hybrid work model, balancing in-office collaboration with remote flexibility in Saltillo, Coahuila .
  • Employees benefit from a stimulating work environment, access to cutting-edge technology, and the chance to work on impactful projects.
  • Additional perks include performance bonuses, paid time off, and professional development allowances for conferences and training.
  • Join a team that values innovation, collaboration, and continuous learning.
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Ingeniero IA – Sistemas de Recomendación Innovadores
Ingeniero IA – Sistemas de Recomendación Innovadores

Placements24 • Saltillo

Hybrid
MXN 900,000 - 1,200,000
Health insurance
Dental insurance
Vision insurance
+3
Ingeniero de Machine Learning con Especialización en Sistemas de Recomendación
Ingeniero de Machine Learning con Especialización en Sistemas de Recomendación

Placements24 • Cancún

Hybrid
MXN 600,000 - 900,000
Hybrid work model
Health benefits
Paid time off
+1
Ingeniero de Machine Learning y Sistemas de Recomendación
Ingeniero de Machine Learning y Sistemas de Recomendación

Placements24 • Región Centro

Hybrid
MXN 745,000 - 1,304,000
Trabajo desde casa
Desarrollo profesional continuo
Ambiente inclusivo y colaborativo
+2
Ingeniero de Sistemas de IA Senior
Ingeniero de Sistemas de IA Senior

Placements24 • San Bartolo Naucalpan Centro

Hybrid
MXN 900,000 - 1,400,000
Competitive salary
Health benefits and retirement plans
Continuous learning and conferences
+2
Ingeniero de Aprendizaje Profundo para Sistemas de Recomendación
Ingeniero de Aprendizaje Profundo para Sistemas de Recomendación

Placements24 • Región Centro

Hybrid
MXN 600,000 - 900,000
Salario competitivo
Seguro médico
Desarrollo profesional
+1
Ingeniero De Datos Senior En Saltillo
Ingeniero De Datos Senior En Saltillo

Placements24 • Saltillo

Hybrid
MXN 900,000 - 1,350,000
Competitive salary
Comprehensive health benefits
Retirement plans
+1
Desarrollador de Soluciones de IA
Desarrollador de Soluciones de IA

Placements24 • Monterrey

Hybrid
MXN 550,000 - 800,000
Health insurance
Professional training
Collaborative work culture
Especialista En Aprendizaje Profundo Y Redes Neuronales
Especialista En Aprendizaje Profundo Y Redes Neuronales

Placements24 • Saltillo

On-site
MXN 700,000 - 1,100,000
Health insurance
Conference participation and pro dev
Access to advanced computing resources
+1
Ingeniero Principal De Ia Para El Desarrollo De Sistemas Cognitivos
Ingeniero Principal De Ia Para El Desarrollo De Sistemas Cognitivos

Placements24 • Cancún

Hybrid
MXN 1,200,000 - 2,300,000
Health insurance
Relocation assistance
Hybrid work arrangement
+2
Ingeniero de Sistemas Inteligentes y Aprendizaje Automático
Ingeniero de Sistemas Inteligentes y Aprendizaje Automático

Placements24 • Región Centro

Hybrid
MXN 420,000 - 650,000
Salario competitivo
Seguro médico
Trabajo 100% remoto
+3