Machine Learning Engineer

hace 3 semanas


Medellín, Colombia Mechanized AI Inc. A tiempo completo

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)
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