ML Ops Engineer - Python Backend for Production Models

Selecty; United States; Remote; USD 100,000 - 170,000; Full time

Job summary

Selecty is seeking a middle-level MlOps / Python Backend Engineer to productize ML models and build backend services that meet production standards.

You will refactor code from Data Science teams and develop backend services and REST APIs tailored for ML solutions, working closely with Data Scientists, MLOps engineers, and analysts to strengthen ML pipelines and influence architecture.

Qualifications

• Proficient in Python programming and building REST APIs.
• Experience productizing machine learning models for production.
• Knowledge of ML pipelines and deployment considerations.

Responsibilities

• Productize machine learning models for production-grade services.
• Refactor code from Data Science teams into robust backend modules.
• Develop backend services and REST APIs tailored for ML solutions.
• Collaborate with Data Scientists, MLOps engineers and analysts on pipeline improvements.
• Contribute to architectural decisions and R&D tasks for ML platforms.

Skills

Python

REST API

ML/MLops

Backend development

Job description

Selecty is seeking a middle-level MlOps / Python Backend Engineer to productize ML models and build backend services that meet production standards.

You will refactor code from Data Science teams and develop backend services and REST APIs tailored for ML solutions, working closely with Data Scientists, MLOps engineers, and analysts to strengthen ML pipelines and influence architecture.