Python Developer

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

Work closely with the Chief Engineer and Technical Leads to 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.

Required Skills:

Minimum 3-5 years’ experience with:

Active TS/SCI w/Polygraph security 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.

Preferred Skills/Experience:

Experience with Python ORM tools for database as code, such as SQLAlchemy.

Experience deploying containerized Python code using Docker on cloud platforms such as AWS.

Experience using NLP toolkits and frameworks to integrate into production systems.

Experience deploying AI Models into production using Python Libraries and Frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.