How Allegis Group and TEKsystems Use AI and MLOps to Streamline Recruitment and Scale Talent Solutions

By: GoBeyond Team

July 3, 2025

3 min read

Allegis Group AI-powered recruitment automation dashboard

Quick Overview

Allegis Group, a global leader in talent and workforce solutions, partnered with TEKsystems and Google Cloud to implement AI and machine learning models automating recruitment tasks such as updating candidate profiles, generating job descriptions, and analyzing recruiter-candidate interactions. They built a centralized Data Science Hub using a hub-and-spoke MLOps model to operationalize AI solutions at scale across all operating companies.

Allegis Group / TEKsystems

Company Size

Allegis Group: ~20,000 employees; TEKsystems: ~6,000 employees

Revenue Range

Allegis Group: $13B+ annual revenue

Primary Challenge

Increasing operational efficiency and productivity in recruiting skilled trades and enterprise talent

Key Metrics

\- 50% faster rollout of MLOps pipelines\- Thousands of recruiters supported\- Reduced technical debt\- Automated updating of 920,000 candidate skills and 78,000 job titles\- Created APIs supporting 4,800 users\- Streamlined job description generation and profile updates

The Problem

Manual recruitment processes were labor-intensive, error-prone, and lacked scalability, especially for skilled trades hiring

The Solution

Developed AI/ML models and generative AI tools deployed via Google Vertex AI and Cloud Run; established best practices for MLOps; created a centralized Data Science Hub enabling scalable AI adoption and innovation

Results

\- Increased recruiter efficiency\- Reduced manual labor and technical debt\- Faster, more consistent hiring processes\- Enabled data-driven decision-making\- Scalable AI solutions enterprise-wide