Python Programmer - Remote

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

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to learn more and view our open positions.

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For further inquiries about this opportunity, please contact one of our Talent Specialists, Amit at

(224) 507 - 1290

(or) Abdul at

(224) 507-1295

Title : Python Programmer - Remote

Location : Remote

Duration : 12 Months

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered

This position requires U.S. Citizens only to meet the DoD requirements.

Description

1. Scope

The scope of this effort includes software engineering support for the APPFL framework. The subcontractor will contribute production-quality code, clear documentation, and sufficient testing to support new features, performance optimizations, visualization capabilities, and long-term maintainability of the framework.

The work includes, but is not limited to :

• Design and implementation of a real-time visualization and monitoring toolkit for federated and distributed training workflows, which can be easily integrated into APPFL.
• Ongoing maintenance, bug fixes, and release support for the APPFL codebase.
• Implementation of new features related to privacy-preserving federated learning.
• Performance optimizations for the framework to make the framework more efficient for large scale federated training.

2. Objectives

T he objectives of this contract are to :

3. Tasks

Task 1 : Real-Time Federated Learning Visualization Toolkit

The contractor shall design and implement a real-time visualization and monitoring toolkit for federated / distributed learning workflows that can be easily integrated into APPFL, APPFLx (the web application built on top of APPFL) and more general distributed training workflows. Specifically, this task includes :

Task 2 : Feature Development for Privacy Preserving Federated Learning

The contractor shall work collaboratively with other researchers and developers to implement new features and algorithms related to privacy preserving large-scaling federated learning, which may include :

Task 3 : Framework Maintenance and Release Support

The contractor shall provide ongoing maintenance and release support for APPFL by :

Task 4 : Community Building and Ecosystem Development

The contractor shall contribute to the growth and sustainability of the APPFL user and developer community by :

4. Deliverables

Deliverables under this contract may include :

5. Government-Owned Property

Yes

6. Security

No security clearance is required

About us :

DivIHN , the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.