Ingeniero de Machine Learning - Sistemas Inteligentes

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

About the Role

Our client, a prominent company at the forefront of Artificial Intelligence and Emerging Technologies , is actively seeking a talented Machine Learning Engineer for Intelligent Systems to join their innovative team. While the role is based in Chihuahua, Chihuahua, MX , this position offers a fully remote work arrangement, providing flexibility and work-life balance. You will be instrumental in designing, developing, and deploying machine learning models and systems that power intelligent applications and drive business value. We are looking for a hands-on engineer with a strong understanding of ML algorithms, software development best practices, and experience in bringing ML models from concept to production. The ideal candidate is passionate about building scalable and efficient ML solutions and contributing to the advancement of AI technologies. You will work closely with a team of experts in a collaborative and forward-thinking environment.

Key Responsibilities

• Design, implement, and deploy machine learning models and algorithms for various intelligent systems applications.
• Develop and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
• Collaborate with data scientists and software engineers to integrate ML models into production environments.
• Monitor and maintain the performance of deployed ML models, identifying and addressing issues.
• Research and apply state-of-the-art ML techniques and tools.
• Write clean, maintainable, and efficient code for ML systems.
• Contribute to the development of ML infrastructure and tooling.
• Participate in code reviews and provide constructive feedback.
• Document ML models, systems, and processes.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
• 3+ years of professional experience in machine learning engineering or a related role.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of fundamental ML algorithms and concepts.
• Experience with building and deploying ML models in production.
• Familiarity with software development best practices, including version control (Git) and testing.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and the ability to work independently.
• Strong communication and collaboration skills, suitable for a remote team environment.
• Experience with MLOps practices is highly desirable.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Flexible remote work arrangement, allowing you to work from anywhere.
• Opportunities for professional development, training, and attending conferences.
• A collaborative and innovative work environment focused on cutting-edge AI.
• Generous paid time off.
• Retirement savings plan.
• Access to modern tools and technologies.