Senior Technical Recruiter

Accountabilities:

• • Own full-cycle recruiting for Data Engineers, Machine Learning Engineers, Data Scientists, MLOps Engineers, Software Engineers, and other specialized technical positions.
  • Develop and publish technically accurate, compelling job descriptions that clearly communicate role requirements and attract qualified candidates.
  • Proactively source senior and hard-to-find technical talent through LinkedIn, GitHub, Stack Overflow, Kaggle, professional communities, networking, and other sourcing channels.
  • Evaluate candidate backgrounds across data platforms, machine learning frameworks, cloud environments, software architectures, and engineering practices.
  • Conduct detailed technical screening conversations to assess hands-on experience, system design knowledge, technical depth, and problem-solving capabilities.
  • Partner with technical interviewers and hiring teams to establish effective assessment approaches, interview standards, and candidate evaluation criteria.
  • Distinguish between academic or theoretical machine learning experience and practical, production-grade engineering expertise.
  • Work closely with engineering leaders, data architects, ML leaders, and product stakeholders to define hiring requirements, priorities, and sourcing strategies.
  • Translate technical and business requirements into focused recruitment strategies and actionable talent pipelines.
  • Advise hiring stakeholders on talent availability, market conditions, compensation trends, candidate expectations, and competitive hiring activity.
  • Build and maintain long-term pipelines for critical and emerging Data, AI, ML, and Software Engineering skill sets.
  • Monitor developments across AI/ML, Big Data, cloud analytics, data platforms, and related technologies to strengthen technical recruiting strategies.
  • Manage candidate activity and recruitment workflows accurately within ATS and other recruiting systems.
  • Maintain detailed records of interviews, feedback, candidate progression, and hiring decisions.
  • Track and report recruitment metrics, including pipeline health, time-to-fill, sourcing effectiveness, and quality of hire.
  • Continuously identify opportunities to improve recruiting processes, candidate quality, stakeholder experience, and overall hiring efficiency.

  Requirements:

  • 5–8+ years of experience as a Technical Recruiter, with substantial experience recruiting for Data, Machine Learning, AI, Software Engineering, or related technical roles.
  • Demonstrated success recruiting senior, specialized, and difficult-to-source technical professionals in fast-paced environments.
  • Strong working knowledge of modern data and machine learning ecosystems, including Data Engineering, Big Data platforms, ML frameworks, ML pipelines, and cloud technologies.
  • Familiarity with AWS, Azure, GCP, and modern software engineering practices.
  • Ability to conduct credible technical screening conversations and evaluate candidates based on hands-on engineering experience, technical depth, and problem-solving ability.
  • Strong understanding of technical terminology and the ability to communicate effectively with engineers, architects, technical leaders, and other highly specialized stakeholders.
  • Excellent sourcing skills and experience using platforms such as LinkedIn, GitHub, Stack Overflow, Kaggle, and professional technology communities.
  • Strong stakeholder management skills, with the ability to influence hiring managers and translate complex requirements into effective recruiting strategies.
  • Excellent written and verbal communication skills, with strong attention to detail.
  • Experience working with applicant tracking systems, sourcing platforms, recruitment analytics tools, and other modern recruiting technologies.
  • Strong analytical and organizational skills, with the ability to manage multiple searches and priorities simultaneously.
  • Ability to use recruitment data and market intelligence to make informed recommendations and improve hiring outcomes.
  • Comfortable working in a dynamic, technology-focused environment where priorities and talent requirements may evolve quickly.
  • Curious and continuously learning, with a genuine interest in emerging technologies across AI, machine learning, data, and software engineering.

  Benefits:

  • Competitive base salary and comprehensive benefits package.
  • Medical, dental, and vision-related benefits.
  • 401(k) retirement plan.
  • Short-term disability coverage.
  • Health Savings Account (HSA) options.
  • Paid time off (PTO).
  • Opportunity to work with highly specialized technical talent across Data, AI, Machine Learning, and Software Engineering.
  • Meaningful career development and continuous learning opportunities.
  • Collaborative and inclusive environment focused on innovation, professional growth, and long-term success.
  • Opportunity to influence technical hiring strategies and build talent pipelines for high-impact technology teams.