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Senior Machine Learning Engineer (AI)

Формат работы
remote (только Brazil/Argentina)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI): Building and operationalizing scalable LLM-powered backend systems and MLOps pipelines with an accent on RAG architectures, vector databases, and high-throughput API design. Focus on orchestrating complex LLM workflows, ensuring model observability, and optimizing performance for production-grade AI applications.

Location: Must be based in Brazil or Argentina

hirify.global is a software development company providing digital transformation services and AI-powered solutions for various industries.

What you will do

  • Build and refine ML Engineering platforms, backend systems, and microservices using FastAPI.
  • Deploy and operationalize LLM and Generative AI models with robust MLOps practices.
  • Orchestrate model pipelines including feature engineering, inference, and continuous training.
  • Implement LLM observability, prompt management, and cost optimization strategies.
  • Collaborate with cross-functional teams to gather requirements and deliver production-ready code.

Requirements

  • Location: Must be based in Brazil or Argentina.
  • 7+ years of strong Python coding experience.
  • 2+ years of hands-on experience with machine learning and production LLM systems.
  • 3+ years of experience building backend APIs with FastAPI, async patterns, and SQLAlchemy.
  • Strong understanding of RAG architectures, vector databases, and LLM orchestration tools like LangChain/LangGraph.
  • Experience with MLOps tools (MLflow) and cloud platforms (Azure preferred).

Nice to have

  • Experience with DevOps practices (Docker, Kubernetes, CI/CD).
  • Knowledge of data engineering and Big Data systems.
  • Domain expertise in regulated industries like healthcare or pharma.
  • Experience with document processing and OCR tooling.

Culture & Benefits

  • Flexible working hours and remote-friendly environment.
  • Access to Udemy courses for continuous learning.
  • Regular team-building events, workshops, and knowledge-sharing sessions.
  • Clear career progression paths.
  • Paid absence days to support work-life balance.

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