AI & Data Science Engineer III - Public Sector AI Innovator

PowerToFly

Virginia (IL)

On-site

USD 131,000 - 218,000

Full time

4 days ago
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Job summary

Deloitte GPS is seeking an AI & Data Science Engineer III to design, build, and deploy AI/ML solutions for government and public sector clients. You will craft data pipelines and model workflows, translating mission requirements into scalable data assets and components.

Collaborate with cross-functional teams to integrate solutions across client environments, and support testing, documentation, and monitoring to ensure continuous improvement and high quality results.

Qualifications

  • Bachelor's degree in CS/DS/engineering or related field.
  • 5+ years of professional experience.
  • 2+ years deploying ML/AI solutions in production.
  • 2+ years Python and SQL for data pipelines/models.
  • 2+ years with AWS/Azure/GCP cloud platforms.
  • Willingness to travel 30% and work in the US.

Responsibilities

  • Design, develop, and deploy AI/ML/data science solutions for government and public sector clients.
  • Build data pipelines, model workflows, and production analytics.
  • Translate requirements into technical designs and data assets.
  • Collaborate with cross-functional teams to integrate solutions.
  • Support testing, documentation, model monitoring, and continuous improvement.

Skills

Independent work
Written and verbal communication
Attention to detail
Relationship building
Project leadership
Multitasking
Interpersonal skills
Meet deadlines
Provide guidance

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a technical field

Tools

Python
SQL
AWS
Azure
GCP
Databricks
Apache Spark
Docker
Kubernetes
MLOps tools

Job description

Deloitte GPS is seeking an AI & Data Science Engineer III to design, build, and deploy AI/ML solutions for government and public sector clients. You will craft data pipelines and model workflows, translating mission requirements into scalable data assets and components.

Collaborate with cross-functional teams to integrate solutions across client environments, and support testing, documentation, and monitoring to ensure continuous improvement and high quality results.

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