Remote MLOps Engineer for AI Production

FullStack; Pakistan; Remote; PKR 33,241,000 - 49,861,000; Full time

Benefits offered by this job

100% remote work

Competitive pay

Opportunity to work with leading firms

Job summary

FullStack is seeking a Machine Learning Operations Engineer to join our talent network and work on flexible, project-based AI/ML deployments for U.S. clients.

You will integrate directly into client teams, applying MLOps, model deployment via APIs, and CI/CD to production systems while collaborating with designers and engineers daily. Advanced English and a four-year degree are required. Experience with LLMs, cloud platforms, and data platforms is a plus.

Qualifications

• 3+ years of professional software development with Machine Learning and MLOps.
• Advanced English is required.
• Four-year college degree required.
• Experience deploying ML/AI models to production via APIs/endpoints; MLOps practices including tracking, versioning, monitoring, and lifecycle management.

Responsibilities

• Integrate directly into client teams and work with designers and engineers daily.
• Contribute to AI/ML deployments and production readiness.

Skills

Python

MLOps

LLMs

CI/CD

English

Agile/Scrum

Education

Bachelor's degree

Tools

MLflow

Databricks

Snowflake

Spark

BigQuery

Docker

Kubernetes

LangChain

Job description

FullStack is seeking a Machine Learning Operations Engineer to join our talent network and work on flexible, project-based AI/ML deployments for U.S. clients.

You will integrate directly into client teams, applying MLOps, model deployment via APIs, and CI/CD to production systems while collaborating with designers and engineers daily. Advanced English and a four-year degree are required. Experience with LLMs, cloud platforms, and data platforms is a plus.