Job Description: Machine Learning EngineerLocation: Buenos Aires, Argentina (Remote work options available)Company: Mechanized AIAbout Us:Mechanized AI is at the forefront of AI innovation, leveraging advanced technologies to solve complex real-world problems. We are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. As a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.Key Responsibilities:Evaluate ML/DL/LLM modelsDetect and handle model decay & data driftExperience Requirements:4+ years in Machine Learning/Deep Learning/Generative AI (Experience in enterprise companies or startups; teaching or academic experience like Masters/PhD does not count)1+ year experience with TensorFlow, PyTorch, or Keras1+ year experience in deploying models to production and managing/monitoring them1+ year with cloud platforms (AWS/GCP/Azure)1+ year in MLOps1+ year client-facing experience in AI projects6+ months experience with Large Language Models (LLMs) and Generative AISkills & Expertise:Strong focus on at least one of the following AI specialities:MLOpsClassic ML (tabular, regression)Classic DL (Computer Vision, NLP, tabular, regression)Generative AIDeep Reinforcement Learning (DRL)Full-stack MLFamiliarity with Prompt Engineering: Approaches and best practicesExperience with the following tools and techniques is highly desired:PySparkAgent developmentFine-tuning LLMsRetrieval-Augmented Generation (RAG) optimizationVector DatabasesLLM Architecture & techniques for performanceModel quantizationData privacy and security (e.g., adversarial attacks, red teaming, integrity) #J-18808-Ljbffr