Remote ML Ops Engineer for Production AI/ML

FullStack; Tandil; Teletrabalho; ARS 136 310 000 - 196 892 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote work

Competitive pay

Continuing education opportunities

Grow your career

Resumo da oferta

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) to join our talent network for flexible, project-based work with U.S. clients. You will integrate into client teams, collaborating daily with designers and engineers to deploy ML/AI models via APIs and maintain end-to-end ML lifecycles.

Advanced English and a four-year degree are required, with 3+ years in ML/MLOps. This role emphasizes hands-on Python, CI/CD, cloud familiarity, and asynchronous collaboration within Agile teams.

Qualificações

• 3+ years of professional software development experience with ML and MLOps practices.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Proven experience deploying ML/AI models to production environments via APIs or endpoints.
• Hands-on experience with Python for ML development, automation, and production applications.
• Familiarity with ML lifecycle tools like MLflow, and data platforms such as Databricks, Snowflake, Spark or BigQuery is a plus.
• Experience with agentic workflows, Retrieval-Augmented Generation (RAG), LangChain, or LangGraph is a plus.

Responsabilidades

• Join client teams and work alongside designers and engineers on a daily basis to deliver ML/AI production solutions.

Conhecimentos

ML & MLOps

Python for ML

APIs & endpoints

CI/CD

Cloud platforms

Agile/Scrum

LLMs / Generative AI

Formação académica

Bachelor's degree

Ferramentas

MLflow

Databricks

Snowflake

Spark

BigQuery

LangChain

RAG

Descrição da oferta de emprego

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) to join our talent network for flexible, project-based work with U.S. clients. You will integrate into client teams, collaborating daily with designers and engineers to deploy ML/AI models via APIs and maintain end-to-end ML lifecycles.

Advanced English and a four-year degree are required, with 3+ years in ML/MLOps. This role emphasizes hands-on Python, CI/CD, cloud familiarity, and asynchronous collaboration within Agile teams.