Job description

Description Senior Technical Recruiter – Data, Machine Learning & Software Engineering About the Role 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. Key Responsibilities Technical Sourcing & Talent Identification 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 Technical Screening & Candidate Evaluation 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 Stakeholder & Hiring Manager Partnership 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 Pipeline & Market Intelligence 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 Recruitment Operations & Reporting 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 Required Qualifications Technical Degree -MUST 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 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! Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide . Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market. We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors. With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security —Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio. At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success. Matrix’s success is built on a challenging and engaging work environment , competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together. Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization. To learn more, visit: www.matrix-ifs.com Come and join a winning team! You'll be challenged, have fun, and be a part of a highly respected organization! Matrix offers a competitive base salary and a full benefit package. Benefits include medical, dental, 401K, STD, HSA, PTO, and more EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

Requirements

Must-haves

Senior Technical Recruiter – Data, Machine Learning & Software Engineering
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.
Technical Sourcing & Talent Identification
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
Technical Screening & Candidate Evaluation
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
Stakeholder & Hiring Manager Partnership
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
Pipeline & Market Intelligence
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
Recruitment Operations & Reporting
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlawsazuregcp

Platform: comeet
Effort: medium

Benefits

Benefits detected in the listing.

Dental

401k

Pto