Senior AI/ML Solution Architect

Overview

On Site
Full Time

Skills

Machine Learning (ML)
Google Cloud
Artificial intelligence
Data Analysis
Data Science
Computer science
Information Technology
Cloud computing
Microsoft Azure
Security+
Data engineering
Data mining
Data Visualization
Systems management
Automation
Management
ARM
Collaboration
Innovation
Pivotal
Leadership
Partnership
Art
Security clearance
Science
Data
Amazon Web Services
Database
Statistics
Algorithms
Scripting
Python
Computer networking
PyTorch
TensorFlow
Military

Job Details

Overview

Credence has an immediate need for a Senior Artificial Intelligence (AI)/ Machine Learning (ML) Solution Architect to join our growing and Automation practice. J oin 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

  • ship required with an ability to obtain a Federal Clearance.
  • Masters or Doctorial 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., Google Cloud Platform, 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, Google Cloud Platform or Azure environements
  • 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

Work Location: Onsite - Vienna VA and/or Washington DC

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