Your Strategic Partner for HR, Payroll & Headhunting Solutions We are searching for a highly skilled AI Engineer with a strong background in Machine Learning (ML) and at least four years of hands-on experience in commercial environments beyond academia. The ideal candidate is passionate about AI, stays updated on the latest advancements, and is eager to contribute to innovative AI-driven solutions. Location : Open to candidates located anywhere in Mexico, Uruguay, Colombia, Argentina, Chile, Brazil, Costa Rica, Puerto Rico, Nicaragua, Dominican Republic, El Salvador, Honduras OR Panama Your Responsibilities - Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI Modernize - Serve as ML SME on client projects as needed - Design ML systems - Research and implement appropriate ML algorithms and tools - Select appropriate datasets and data representation methods - Run ML tests and experiments - Perform statistical analysis and fine-tuning using test results - Train and retrain systems when necessary - Extend existing ML libraries and frameworks - Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools. Requirements - 4+ years of ML experience at a start-up or larger enterprise — high priority - 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority - Client delivery experience — high priority - Effective written and oral communications skills (C1 / C2 — advanced / proficient level English is required) — high priority - Bachelor’s degree in computer science, software engineering or related field - Experience with cloud environments (e.g., AWS, Azure, GCP) - Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn) - Experience developing, deploying, and managing / monitoring models - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture - Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies - Advanced experience in NLP techniques and applications - Proficiency in Python programming - Familiarity with prompt engineering approaches and best practices - Knowledge of data structures, data modeling, and software architecture - Analytical and problem-solving skills, with the ability to propose innovative solutions and troubleshoot issues - Ability to work independently and as part of a collaborative team in a fast-paced environment Experience in any of the following is preferred, not required : - Agent development - Data privacy - Fine tuning LLMs - LLM architecture and techniques for performance - MLOps - ML evaluation - Model decay and data drift detection and handling - Pulumi, Terraform and / or Cloud SDKs - PySpark - Quantization - Retrieval-augmented generation (RAG) optimization - Security - Vector databases What’s in It for You? - 20 days of PTO - Local public holidays off - Reimbursement for relevant certifications (e.g., AWS) This is a great opportunity to work with an innovative company driving AI transformation. Apply now! 🚀