Machine Learning Engineer

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:

le: AI/ML Engineer

Location: Remote/Onsite (Specify if applicable)

Start Date: Ideally within 2 weeks

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)

Additional Responsibilities:

• Evaluate ML/DL/LLM models
• Detect and handle model decay & data drift