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:
* 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 specialties:
o MLOps
o Classic ML (tabular, regression)
o Classic DL (Computer Vision, NLP, tabular, regression)
o Generative AI
o Deep Reinforcement Learning (DRL)
o Full-stack ML
* Familiarity with Prompt Engineering: Approaches and best practices
* Experience with the following tools and techniques is highly desired:
o PySpark
o Agent development
o Fine-tuning LLMs
o Retrieval-Augmented Generation (RAG) optimization
o Vector Databases
o LLM Architecture & techniques for performance
o Model quantization
o Data privacy and security (e.g., adversarial attacks, red teaming, integrity)
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