AI Engineer tasked with developing and implementing AI solutions for improving operational efficiency at a leading technology integrator in Latin America.
Responsibilities
Develop, implement, and optimize artificial intelligence solutions, applying them to improve processes, operational efficiency, and decision-making
Work collaboratively with technology teams to ensure the quality and evolution of models and data
Monitor performance, document solutions, and stay up to date with market trends
Requirements
Hands-on experience with supervised and unsupervised Machine Learning
Data preprocessing and analysis
Model evaluation (metrics, validation)
Experience with real-world projects
Strong proficiency in Python (pandas, numpy, scikit-learn)
Applied basic statistics
Version control (Git)
Familiarity with MLOps (differential/plus)
Experience integrating models into APIs (plus)
Ability to understand business problems
Propose modeling approaches
Implement, test, and fine-tune models
Seek help primarily for technical decisions rather than for basic execution
Preferred certifications: Microsoft AI-900: Azure AI Fundamentals, DP-900: Azure Data Fundamentals; introductory certifications in Machine Learning, Python, or Data Science (Coursera, edX, Udemy, etc.)
Education: Degrees in IT, Information Systems, Software Engineering, Networks, Computer Engineering, Computer Science, etc.
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