Data Scientist (AI/ML)

TechniPros, LLC
Rockville, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 120K

Job location

Rockville, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Data analysis
Systems Engineering
Computer Vision
Cloud Computing
Cloud Engineering
Data Files
Machine Learning
Microsoft Office
Scrum
Software Architecture
Systems Development Life Cycle
Software Engineering
Model Validation
Machine Learning Operations

Job description

Provide technical expertise supporting AI/ML software acquisition programs. Perform data collection, analysis, and reporting to improve transparency and explainability of AI/ML systems. Support development, scaling, validation, and evaluation of machine learning models. Assist Government customers in managing AI/ML analytics programs and initiatives. Evaluate software architectures and provide recommendations for future cloud-based systems.

Requirements

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Data Science
  • Software Architecture
  • Systems Engineering
  • Cloud Computing Architecture
  • Model Evaluation & Validation
  • Responsible AI
  • Training Dataset Generation
  • Ontologies
  • Computer Vision
  • AI/ML Analytics
  • Data Analysis
  • Technical Documentation
  • Technical Roadmaps
  • Acquisition Strategy Support
  • Agile Methodologies
  • Scrum
  • SAFe
  • Agile Metrics
  • Risk Analysis
  • Software Development Lifecycle (SDLC)
  • Microsoft Office Suite

Soft Skills

  • Excellent analytical and problem-solving abilities
  • Strong critical thinking skills
  • High level of initiative and ownership
  • Excellent written and verbal communication skills
  • Ability to work effectively in high-tempo environments
  • Strong collaboration and teamwork skills
  • Ability to communicate technical concepts to Government stakeholders

Preferred Skills

  • Computer Vision
  • Mission-focused AI/ML analytics
  • Technical roadmap development
  • Government acquisition support
  • Cloud-native software architectures
  • Explainable AI (XAI)
  • AI governance and responsible AI frameworks

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