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Senior AI/ML Solution Architect

2 months ago

McLean, United States Credence Management Solutions, LLC Full time

Overview

Credence has an immediate need for a Senior Artificial Intelligence (AI)/ Machine Learning (ML) Solution Architect to join our growing and Automation practice. Join Credence Management Solutions, to immediately bolster our thriving AI and Automation consulting arm.

Responsibilities include, but are not limited to the duties listed below

Spearhead the development and execution of groundbreaking projects in collaboration with federal government clients, leveraging advanced AI and ML technologies.
Exhibit an unyielding commitment to innovation, playing a pivotal role in propelling projects to successful completion while upholding the highest standards of excellence.
Lead and cultivate strong client partnerships, guiding the integration of state-of-the-art AI/ML, automation, and data analytics solutions tailored to the unique needs of the federal sector.
While prior expertise in AI and ML is highly valued, an eagerness to continually expand knowledge and expertise in these domains is essential to stay at the forefront of evolving technologies.

Education, Requirements and Qualifications

US Citizenship required with an ability to obtain a Federal Clearance.
Masters or Doctoral Degree in an AI Or Data Science related field.
Bachelor of Science Degree in one of the following subject areas with 10+ years of work experience: Computer Science, Data Scientist, Information Technology, or related field.


Certification Cloud technologies e.g., GCP, Microsoft Azure or AWS is a plus.
Security+ Certification; Database Certification is a plus.
Must have 5+ five plus years of prior experience with AI/ML and Data Science.
Must have hands on knowledge architecting, developing and deploying AI/ML solutions and applications
Must have experience with Data Engineering, Data analysis, Data mining, Data visualization, Statistics, and/or Graph algorithms.
Must have prior hands-on scripting languages experience in Python.
Must have prior experience in developing in AWS, GCP or Azure environments
General Systems management and networking skills.
Experience with Cloud database tools.
Knowledge of AI/ML libraries, models, and tools e.g., LLAMA-2, Pytorch, TensorFlow.

Working Conditions and Physical Requirements

Location: - Onsite in - McLean Va or Washington DC

#LI-Hybrid 3 Days/Week





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