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Senior AI/ML Solution Architect

2 months ago

Mc Lean, United States Credence Management Solutions, LLC Full time

Senior AI/ML Solution Architect
Job Locations: US-VA-McLean
ID: 2024-8228
Category: Data Engineering
Type: Regular Full-Time
Overview
Credence has an immediate need for a Senior Artificial Intelligence (AI)/ Machine Learning (ML) Solution Architect to join our growing Automation practice. Join Credence Management Solutions, to immediately bolster our thriving AI and Automation consulting arm.
Responsibilities

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 in Cloud technologies e.g., GCP, Microsoft Azure or AWS is a plus.
Security+ Certification; Database Certification is a plus.
Must have 5+ 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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