Senior Technical Recruiter

Matrix Global•USA,

21h

About The Position

We are seeking a Senior Technical Recruiter with deep expertise in hiring across Data Engineering, Machine Learning, AI, and Software Engineering roles. This is a highly technical recruiting position requiring strong domain understanding of modern data stacks, ML systems, and engineering workflows—not just resume matching. You will act as a strategic partner to engineering leadership, owning end-to-end hiring for complex technical roles and driving talent pipelines in a competitive market. This role offers a unique opportunity to work at the forefront of technology, connecting talented professionals with exciting career paths in machine learning and big data. If you’re passionate about recruitment and thrive in a dynamic environment, we’d love to hear from you!

Requirements

5–8+ years of experience as a Technical Recruiter, with a strong focus on Data, ML, AI, or Software Engineering roles
Demonstrated ability to recruit senior and specialized technical profiles in fast-paced environments
Solid working knowledge of modern data and ML ecosystems, including: Data Engineering & Big Data platforms, Machine Learning frameworks and pipelines, Cloud environments (AWS, Azure, GCP), Software engineering best practices
Proven experience conducting technical screening conversations with credibility
Strong stakeholder management and communication skills
Experience using ATS, sourcing platforms, and analytics-driven recruiting tools

Responsibilities

Own full-cycle recruiting for Data Engineers, ML Engineers, Data Scientists, MLOps Engineers, and Software Engineers
Write and publish technically accurate job descriptions for advanced data and ML roles
Proactively source senior and niche technical talent using LinkedIn, GitHub, Stack Overflow, Kaggle, professional communities, and networking channels
Evaluate candidate backgrounds across data platforms, ML frameworks, cloud technologies, and software architectures
Conduct in-depth technical screening calls to assess hands-on experience, system design understanding, and problem-solving skills
Partner with technical interviewers to align on assessment strategies and hiring standards
Distinguish between academic ML profiles and production-grade engineering experience
Ensure high-quality signal before advancing candidates to technical interview stages
Collaborate closely with engineering leaders, data architects, ML leads, and product teams to define role requirements and hiring priorities
Translate business and technical needs into clear sourcing strategies
Advise stakeholders on market trends, talent availability, and compensation benchmarks
Build and maintain long-term pipelines for critical data and ML skill sets
Track emerging technologies across AI/ML, Big Data, cloud analytics, and data platforms
Monitor competitive hiring trends and candidate expectations in global markets
Manage candidate lifecycle within ATS and recruitment tools with strong attention to detail
Maintain accurate documentation on interviews, feedback, and hiring decisions
Produce recruitment metrics and insights on pipeline health, time-to-fill, and quality of hire