Ingeniero de Machine Learning con Especialización en Sistemas de Recomendación

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

About the Role

Our client is a forward-thinking company operating at the intersection of Artificial Intelligence and Emerging Technologies. We are seeking a talented Ingeniero de Machine Learning with a specialization in building and optimizing recommendation systems. This role, based in the vibrant tourist destination of Cancún, Quintana Roo , will involve designing, developing, and deploying sophisticated algorithms that personalize user experiences and drive engagement. You will work with large-scale datasets, leverage cutting-edge ML techniques, and collaborate with product and engineering teams to deliver innovative features. The ideal candidate possesses a strong understanding of recommendation algorithms, collaborative filtering, content-based filtering, and hybrid approaches, along with solid programming skills and a passion for data-driven product development. This is an exciting opportunity to contribute to high-impact projects in a dynamic environment, offering a blend of on-site collaboration and remote flexibility within the beautiful setting of Cancún .

Key Responsibilities

Design, develop, and implement machine learning models for recommendation systems. Utilize techniques such as 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, focusing on metrics like precision, recall, and user engagement. Collaborate with product managers and engineers to integrate recommendation engines into user-facing applications. Conduct A/B testing and experiments to measure the impact of recommendation algorithms. Stay up-to-date with the latest research and advancements in recommendation systems and machine learning. Optimize models for performance, scalability, and real-time serving.

Requirements

Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. 3+ years of experience in machine learning, with a significant focus on recommendation systems. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy. Strong understanding of various recommendation algorithms and their underlying principles. Experience with data processing, feature engineering, and model evaluation. Familiarity with big data technologies (e.g., Spark) and cloud platforms is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Experience working in a hybrid model, particularly in the Cancún, Quintana Roo area.

Benefits

Our client offers a competitive salary, comprehensive health benefits, and performance incentives. Employees benefit from a hybrid work model that balances office collaboration with remote flexibility, ample opportunities for professional development, and a stimulating work environment. This role in Cancún provides a unique chance to work on cutting-edge AI technologies while enjoying a desirable location. We also provide paid time off and other benefits focused on employee well-being.