New Role: Python Developer role in McLean, VA |(Day 1 On-Site|

Posted 3 months ago

Any Visa

Need Candidate’s LinkedIn URL as well and it’s must from Client’s end

Freddie Mac:

Python Developer

McLean, VA (Day 1 On-Site- Will sit on-site 2 days a week from Day 1)

12 Month Contract

Phone then Video

Call Notes:

·         PyUnit is just writing unit test case for python program so don’t be too fixated on PyUnit.

·         anything above 3 years of experience is good.

·         need strong python programmer who has dealt with data and web services.

o    need python application developer (deployed on Openshift container platform) with data experience. app runs for 2-3 hours each day with some machine learning algorithms, candidates don’t need to know ML in depth but any exposure here would be an advantage.

·         Kubernetes, Jenkins, docker etc are all bonuses.

·         need to know how pandas reads data from CI/CD file. not lots of data manipulations.

·         top skills: python, docker, Jenkins pipeline.

·         if team likes candidate, we will hear decision same day, so end of next week if we have someone interview.


·         Python experience in wrangling, processing and analyzing data from databases and APIs.

·         Develop REST/JSON based web services using Flask or Fast API.

·         Familiarity with these python packages is preferred: Pandas, NumPy, Jupyter, sklearn, pipeline, ONNX, DILL.

·         Create docker images and deploy images to Open Shift Container platforms.

·         Continuously update software to fix security vulnerabilities.

·         Create unit tests using PyUnit.

·         Follow software engineering standard methodologies to build modular and sustainable model related services.

·         Coordinates with business, model and IT users to resolve production issues.

·         Knowledge on different ML algorithms will be preferred.

Minimum Requirements:

·         BS in Computer Science or any quantitative field.

·         5+ years in python.

·         Experience with Pandas and NumPy.

·         Docker, OCP, Kubernetes and Jenkins.

·         Experience with UNIX shell scripting.