MlOps / Python Backend Engineer (ML)

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 seeks a middle-level MlOps / Python Backend Engineer to productize ML models and develop backend services. Candidates with Python and REST API experience, particularly in ML contexts, should consider applying.

In this role, you will focus on the productization and implementation of machine learning models, ensuring they meet production standards. Your responsibilities will include refactoring code from Data Science teams and developing backend services and REST APIs tailored for ML solutions.

You will work closely with Data Scientists, MLOps engineers, and analysts, contributing to the creation and enhancement of ML pipelines. Additionally, you will engage in architectural decisions and R&D tasks, making your input vital to the success of the team.