Remote MLOps Engineer for Production AI/ML

FullStack Labs, Inc.

Mar del Plata

Hybrid

ARS 136,310,000 - 196,892,000

Full time

4 hours ago
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Job summary

Join FullStack Labs, Inc. as a Machine Learning Operations Engineer (AI/ML) working remotely across Latin America.

You will integrate into client teams, deploying ML models to production and strengthening MLOps practices with API endpoints and scalable pipelines. Ideal candidates have 3+ years in ML development, strong Python skills, and hands-on experience with CI/CD, cloud platforms, and model lifecycle management.

Qualifications

  • 3+ years of professional software development experience with Machine Learning and MLOps practices.
  • Strong English communication skills.
  • Proven experience deploying ML/AI models to production environments via APIs or endpoints.
  • Hands-on experience with containerization and cloud platforms.
  • Experience with Python for ML development and automation.

Responsibilities

  • Deploy ML models to production via APIs or endpoints.
  • Collaborate with data scientists and engineers on client projects.
  • Implement and maintain MLOps practices: tracking, versioning, monitoring, lifecycle management.
  • Contribute to CI/CD pipelines for ML applications.
  • Work with retrieval-augmented generation (RAG) and LangChain integrations as needed.

Skills

Machine Learning
MLOps
Python for ML
CI/CD
Cloud platforms
Containerization
Agile/Scrum
LLMs / Generative AI
Retrieval-Augmented Generation (RAG)
LangChain / LangGraph

Education

Bachelor's degree

Tools

MLflow
Databricks
Snowflake
Spark
BigQuery
LangChain
Copilot / Codex CLI

Job description

Join FullStack Labs, Inc. as a Machine Learning Operations Engineer (AI/ML) working remotely across Latin America.

You will integrate into client teams, deploying ML models to production and strengthening MLOps practices with API endpoints and scalable pipelines. Ideal candidates have 3+ years in ML development, strong Python skills, and hands-on experience with CI/CD, cloud platforms, and model lifecycle management.

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