Remote MLOps Engineer for AI in Production

FullStack; United States; Remote; CLP 88,409,000 - 127,701,000; Full time

Benefits offered by this job

100% remote work

Continuing education opportunities

Grow your career

Job summary

FullStack seeks a Machine Learning Operations Engineer for flexible, project-based work with US clients. You will join client teams and own ML deployment pipelines end-to-end.

Requirements include 3+ years in ML/MLOps, advanced English, a four-year degree, and Python expertise with CI/CD. Experience with LLMs, MLOps tooling, and cloud data platforms is a plus. 100% remote with international collaboration.

Qualifications

• 3+ years of professional software development experience with ML and MLOps.
• Advanced English is required.
• Four-year college degree required.
• Experience deploying ML models to production via APIs/endpoints.
• Proficient in Python for ML development and production apps.
• Hands-on with MLOps: tracking, versioning, monitoring, lifecycle management.

Responsibilities

• Integrate into client teams and align with designers and engineers daily.
• Deploy and monitor ML models in production through robust pipelines.
• Contribute to libraries and improve existing ML tooling as needed.

Skills

Machine Learning

MLOps

Python

APIs

CI/CD

Docker

Kubernetes

Advanced English

Education

Bachelor's degree

Tools

MLflow

Databricks

Snowflake

Spark

BigQuery

LangChain

Job description

FullStack seeks a Machine Learning Operations Engineer for flexible, project-based work with US clients. You will join client teams and own ML deployment pipelines end-to-end.

Requirements include 3+ years in ML/MLOps, advanced English, a four-year degree, and Python expertise with CI/CD. Experience with LLMs, MLOps tooling, and cloud data platforms is a plus. 100% remote with international collaboration.