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 AIinnovation, leveraging advanced technologies to solve complexreal-world problems. We are dedicated to creating cutting-edgesolutions that drive modernization and efficiency acrossindustries. As a growing team of passionate professionals, we arecommitted 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 MachineLearning/Deep Learning/Generative AI (Experience in enterprisecompanies or startups; teaching or academic experience likeMasters/PhD does not count) - 1 - year experience with TensorFlow,PyTorch, or Keras - 1 - year experience in deploying models toproduction and managing/monitoring them - 1 - year with cloudplatforms (AWS/GCP/Azure) - 1 - year in MLOps - 1 - yearclient-facing experience in AI projects - 6 - months experience withLarge Language Models (LLMs) and Generative AI Skills &Expertise;: - Strong focus on at least one of the following AIspecialities: - MLOps - Classic ML (tabular, regression) - ClassicDL (Computer Vision, NLP, tabular, regression) - Generative AI -Deep Reinforcement Learning (DRL) - Full-stack ML - Familiaritywith Prompt Engineering: Approaches and best practices - Experiencewith the following tools and techniques is highly desired: -PySpark - Agent development - Fine-tuning LLMs -Retrieval-Augmented Generation (RAG) optimization - VectorDatabases - LLM Architecture & techniques for performance -Model quantization - Data privacy and security (e.g., adversarialattacks, red teaming, integrity) #J-18808-Ljbffr Engineering