Ingeniero(a) Machine Learning

Innomotics

Santiago de Chile, Chile
On-site
Machine learning engineering
Python (pandas, numpy, scikit-learn)
Deep learning (pytorch/tensorflow)
Participate in the design, development, and integration of applications, incorporating AI/ML and LLM functionalities

Job Summary

  • Participate in the design, development, and integration of applications, incorporating AI/ML and LLM functionalities.
  • Drive the adoption of new technologies associated with generative AI, cloud services, and business-driving integrations.
  • Lead ML/AI development best practices and coach other team members.

Matching Summary

Participate in the design, development, and integration of applications, incorporating AI/ML and LLM functionalities.

Skills & Requirements

Must-have

  • Machine Learning Engineering
  • Python (Pandas, NumPy, Scikit-learn)
  • Deep Learning (PyTorch/TensorFlow)
  • LLMs and RAG systems
  • MLOps and CI/CD pipelines
  • Cloud ML (Azure/AWS)
  • SQL and Time Series Databases

Nice-to-have

  • Generative AI
  • Intelligent agents
  • Conversational systems
  • Industrial protocols
  • APC automation

Key Requirements

  • 4-6 years of experience in Machine Learning Engineering
  • Production ML focus
  • Advanced Python
  • Conversational English

Work Rights

Not specified

Tailored Resume

Cover Letter