TS/SCI AI/ML Engineer - Onsite Data Solutions Lead

Shield Consulting Solutions, Inc.; Maryland; Presencial; USD 180 000 - 220 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

25 days PTO

11 paid holidays

Health insurance for employees and 100

Resumo da oferta

Shield Consulting Solutions, Inc. is seeking an expert ML/AI engineer with TS/SCI w/Poly to design, train, and deploy models that support data management for IC data custodians.

The role focuses on building scalable AI/ML pipelines and governance to automate data movement and integration with downstream tools. You will lead cross-functional teams, oversee model development life cycles, and ensure secure, compliant deployment.

Qualificações

• Two years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• Three years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Responsabilidades

• Design, create, test, and productize AI/ML algorithms to solve business challenges.
• The AI/ML models should learn and predict per business logic; manage data pipelines, metrics, and governance.
• Lead geographically diverse teams and serve as primary POC for AI-related matters.

Conhecimentos

Python

Java

C++

R

Jupyter notebooks

PyTorch

TensorFlow

Generative AI

Agent Orchestration

RAG

AWS Bedrock

Formação académica

Bachelor's degree in advanced math / CS or related STEM

Three years of additional ML experience may substitute for a bachelor’s degree

Ferramentas

AWS Bedrock

Descrição da oferta de emprego

Shield Consulting Solutions, Inc. is seeking an expert ML/AI engineer with TS/SCI w/Poly to design, train, and deploy models that support data management for IC data custodians.

The role focuses on building scalable AI/ML pipelines and governance to automate data movement and integration with downstream tools. You will lead cross-functional teams, oversee model development life cycles, and ensure secure, compliant deployment.