AI/ML Software Developer SME

Rapid Cycle Solutions, LLC•Chantilly, VA

18h•Onsite

About The Position

Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies. RCS is seeking an AI/ML Software Developer SME to help transition the office to new Artificial Intelligence (AI) technologies to modernize current collection processes. The resources will train machine learning models and provide support for the productization and development of AI-based systems for use as part of the collection mechanisms. This position requires the candidate to meet specific Security Clearance obligations to work onsite in Chantilly, VA.

Requirements

Active TS/SCI clearance with Full Scope Polygraph
U.S. Citizenship required (NO EXCEPTIONS)
Ability to understand and automate customer workflows and business processes with AI solutions
Data structures, data modeling, and software architecture
In-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, TensorFlow, etc.
Extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms
AI/ML specific programming languages, such as Python, Jav, C++, Conda, etc.
Training AI models, as well as in integrating pre-trained models into dataflows and software architectures.

Nice To Haves

Implementing secure AI solutions in the Intelligence Community
Working with highly sensitive data sets
Leading AI/ML initiatives
In-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline
In-depth knowledge in implementing solutions in Amazon Web Services
Very strong problem solving and critical thinking skills
Performing in a collaborative team environment

Responsibilities

Train machine learning models in a variety of ways, to meet a variety of functions, including but not limited to: Synthesis of code to be used for automated webscrapes; Automation of other functions related to webscrapes, including detection and self-healing of scrapes; Automated visual detection of object types (like types of vehicles, license plates, etc.) within video data; Automated review and analysis of terms of service of companies; Automating open source collection of data that could be used to train AI/ML systems and models.
Provide Model training based on training data that may need to be acquired from other components.
Create complete AI-based systems, which may include multiple inputs, models, human-review processes and outputs ETL processes and databases.
Provide Productization and development of AI-based systems for use as part of collection mechanisms.
Provide support to operational elements that are using these systems including breakfix work and software updates.
Research AL/ML technologies in open source to ensure that applicable cutting-edge technologies and capabilities are being brought to bear on efforts.
Support the efforts to collaborate with other elements across the community that are engaged in AI efforts.
Frame and scale data problems to effectively analyze, visualize and find data solutions.
Develop and support scalable and secure functionality into software applications, focusing on integrating and implementing Artificial Intelligence (AI) algorithms and logic into the deliverables of an IT project.
Understand business objectives and develop models that help to achieve them, along with metrics to track progress.
Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.
Analyze technology trends related to Artificial Intelligence (AI) and Machine Learning (ML), and their strategic implications.
Perform independent technical research in relevant areas; robotics, autonomy, software, engineering, data analysis.
Collaborate with customers and stakeholders to understand and assess business requirements and define AI solutions to align with architectural framework and meet business needs.
Be familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing.
Program a system to look for or seek out specific conditions and respond based on those factors.