TS/SCI Python Engineer — Cloud APIs, Docker & AI

Machine Learning Technologies, LLC; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a software engineer to translate requirements into user stories and integrate new features into diverse apps. You will build automated tests, craft cloud-native web APIs, and contribute to CI/CD pipelines.

You’ll work in an Agile team, containerize Python code with Docker, and design components aligned with best practices. You must have 3–5 years of Python experience, TS/SCI w/Poly, and hands-on work with PySpark/Pandas/Numpy, FastAPI, PyTest, and

Qualifications

• Active TS/SCI w/Polygraph clearance is required.
• Data Processing Python Libraries such as PySpark, Pandas, and Numpy.
• API development in Python using libraries such as FastAPI.
• Unit Testing Frameworks in PyTest and Mocking.

Responsibilities

• Translate requirements into user stories and integrate new functionality into various software applications.
• Build and implement automated testing frameworks to ensure high code quality and robust CI/CD deployment processes.
• Develop web APIs to interface with cloud applications and databases, contributing to cloud-native software applications.
• Collaborate effectively as part of an Agile team to deliver software iteratively.
• Integrate Python code into Docker containers as part of a distributed architecture.
• Design software application components independently based on requirements.
• Guide technical design and architecture, ensuring alignment with best practices.
• Interface directly with customer stakeholders to align on requirements and technical implementations.

Skills

Python

API development

Unit testing

CI/CD

Cloud concepts

Tools

FastAPI

PyTest

Mocking

SQLAlchemy

Docker

AWS

NLP toolkits

AI models deployment

Job description

Machine Learning Technologies, LLC seeks a software engineer to translate requirements into user stories and integrate new features into diverse apps. You will build automated tests, craft cloud-native web APIs, and contribute to CI/CD pipelines.

You’ll work in an Agile team, containerize Python code with Docker, and design components aligned with best practices. You must have 3–5 years of Python experience, TS/SCI w/Poly, and hands-on work with PySpark/Pandas/Numpy, FastAPI, PyTest, and