Remote AI Engineer: LLMs, ML Infra & Automation

Huzzle.com

Argentina

On-site

ARS 69,459,880 - 97,243,832

Full time

14 days+
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Benefits offered by this job

Competitive salary based on experience
Flexible work environment
Opportunities for career advancement
Exposure to LLMs and prompt engineering

Job summary

Huzzle.com is seeking a skilled AI Engineer to design and deploy innovative AI and machine learning solutions. You will collaborate with diverse teams, develop scalable models, and integrate cutting-edge technologies into various applications. The ideal candidate has at least 3 years of experience in AI engineering and proficiency in Python and several AI frameworks. This fully remote role promises strong growth potential and the chance to make a significant impact on AI automation projects.

Qualifications

  • 3+ years of experience in AI engineering or related software engineering roles.
  • Strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
  • Hands-on experience working with OpenAI APIs and LLMs.
  • Experience deploying machine learning models into production environments.
  • Familiarity with vector databases and RAG architectures.

Responsibilities

  • Design, develop, and deploy AI/ML models for production.
  • Build AI-powered applications using LLMs and generative AI tools.
  • Collaborate with teams to integrate AI features.
  • Monitor AI systems and troubleshoot issues.
  • Stay updated with advancements in AI and machine learning.

Skills

AI engineering
Machine learning
Python
TensorFlow
PyTorch
NLP systems
Problem-solving
Communication

Tools

OpenAI APIs
Docker
Kubernetes
AWS
Azure
Google Cloud Platform

Job description

Huzzle.com is seeking a skilled AI Engineer to design and deploy innovative AI and machine learning solutions. You will collaborate with diverse teams, develop scalable models, and integrate cutting-edge technologies into various applications. The ideal candidate has at least 3 years of experience in AI engineering and proficiency in Python and several AI frameworks. This fully remote role promises strong growth potential and the chance to make a significant impact on AI automation projects.
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