PLEASE READ THOROUGHLY TO AVOID REJECTION.Location: Open to candidates fromLATIN AMERICANcountries(e.g., Mexico, Uruguay, Colombia, Peru, Argentina, Chile, Brazil, Costa Rica, Puerto Rico, Nicaragua, Dominican Republic, El Salvador, Honduras, Panama).
Full-time, remote position.4+ years of applied Machine Learning (ML) experiencein a commercial setting.6+ months of experiencewith Large Language Models (LLMs) and Generative AI (Gen AI).
RequirementsBachelors degree in Computer Science, Software Engineering, or a related field.Proficiency in Python programmingand advanced experience in NLP techniques and applications.Expertise inML frameworksand libraries (e.g., Tensor Flow, Py Torch, Keras, scikit-learn).
Strong background in Object-Oriented Programming (OOP) principles and unit test-driven development.Experience withcloud environments(AWS, Azure, GCP) andcontainerization technologies(Docker, Kubernetes).
Familiarity withprompt engineeringandLLM optimizationtechniques.Experience in developing, deploying,



and monitoring ML models.Strong analytical and problem-solving skills with the ability to propose innovative solutions.Bonus: Experience in areas such as agent development, fine-tuning LLMs, MLOps, or vector databases.Role Overview
As an AI Engineer, you will work on cutting-edge AI solutions, enhancing AI-enabled products, and contributing to advanced ML systems.
You will serve as a subject matter expert (SME) on client projects and drive the design and implementation of innovative AI systems.ResponsibilitiesBuild and enhance AI-enabled products.Serve as an ML SME on client projects.Design and implement ML systems, including selecting datasets and algorithms.Conduct ML tests, experiments, and fine-tuning using test results.Train, retrain, and deploy models while ensuring effective monitoring and performance.Stay up-to-date with emerging technologies and ML best practices to improve methodologies.20 days of PTO and local public holidays off.Reimbursement for relevant certifications (e.g., AWS).

📌 Ai Engineer (Tijuana)
🏢 MTS Moose Tech Solutions
📍 Tijuana