Job Description: Machine Learning Engineer Location: Buenos Aires, Argentina (Remote work options available) Company: Mechanized AI About 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 models Detect and handle model decay & data drift Experience 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 Keras 1+ year experience in deploying models to production and managing/monitoring them 1+ year with cloud platforms (AWS/GCP/Azure)1+ year in MLOps 1+ year client-facing experience in AI projects 6+ months experience with Large Language Models (LLMs) and Generative AI Skills & Expertise: Strong focus on at least one of the following AI specialities: MLOps Classic ML (tabular, regression) Classic DL (Computer Vision, NLP, tabular, regression) Generative AI Deep Reinforcement Learning (DRL) Full-stack ML Familiarity with Prompt Engineering: Approaches and best practices Experience with the following tools and techniques is highly desired: PySpark Agent development Fine-tuning LLMs Retrieval-Augmented Generation (RAG) optimization Vector Databases LLM Architecture & techniques for performance Model quantization Data privacy and security (e.g., adversarial attacks, red teaming, integrity)#J-18808-Ljbffr