Location: Ciudad de Mexico CDMX (Mexico City), MX, USA
Shift: First shift
Job Level
Individual Contributor
Schedule: Full time; Monday-Friday, 8a.m.-5p.m.
Job Description
AI/ML Engineer II designs, develops, deploys and maintains applications which enable AI-driven solutions that solve complex business problems. In this role, you will take on complex projects and responsibilities, working closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives. This is an intermediate level individual contributor position adecuado for professionals with some experience in the field who are ready to take the next step in their career and contribute to impactful data science initiatives.
Essential Job Duties And Responsibilities
Collaborate with data scientists and engineers to collect requirements, design, develop, deploy and support data-driven software solutions.
Work with stakeholders to identify business opportunities, discuss challenges and contribute to developing solutions.
Lead the development and optimization of data processing and feature engineering pipelines.
Deploy, fine-tune and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
Build, optimize and maintain APIs and microservices for serving machine learning models.
Implement model performance monitoring and drift detection.
Write high-quality, efficient, and well-documented code.
Conduct code reviews and mentor junior engineers on best practices for software development.
Perform complex data analysis and generate insightful reports and visualizations to support strategic business decisions.
Troubleshoot and resolve sophisticated software and data issues.
Self-manage multiple projects, priorities, and timelines.
Contribute to the continuous improvement of development processes and methodologies.
Effectively communicate progress and conflicts with management, technical leads, an
📌 AI & Machine Learning Engineer II - Mexico (on site) (Ciudad de México)
🏢 Schneider
📍 Ciudad de México
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