Technical Recruiter

Innodata Inc.
•$140,000 - $160,000

About The Position

Innodata is seeking an experienced Technical Recruiter to support high-volume and specialized hiring efforts for technical roles across the organization. The role focuses on recruiting Data Scientists, Machine Learning Engineers, AI Engineers, and other highly technical talent in a fast-paced environment. This full-time position offers the opportunity to make an immediate impact by building strong candidate pipelines and partnering closely with hiring managers to fill critical technical roles.

Requirements

  • At least 5 years of full-cycle technical recruiting experience.
  • Demonstrated success recruiting Data Scientists, Machine Learning Engineers, AI Engineers, and other advanced technical professionals.
  • Strong understanding of technical terminology, AI/ML concepts, cloud technologies, and software engineering roles.
  • Experience sourcing passive candidates through LinkedIn Recruiter and other recruiting platforms.
  • Excellent interviewing, communication, and relationship-building skills.
  • Experience working with Applicant Tracking Systems (ATS).
  • Ability to manage multiple requisitions simultaneously while meeting hiring deadlines.

Nice To Haves

  • Experience recruiting for startup or high-growth technology companies.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience hiring professionals with expertise in Python, SQL, TensorFlow, PyTorch, Spark, Kubernetes, or similar technologies.
  • Experience recruiting for remote and distributed engineering teams.

Responsibilities

  • Manage the full-cycle recruitment process from intake through offer acceptance.
  • Partner with hiring managers to understand technical hiring needs, required skills, and team objectives.
  • Source, identify, and engage passive candidates using LinkedIn Recruiter, job boards, networking, and other sourcing tools.
  • Recruit for specialized positions including Data Scientists, Machine Learning Engineers, AI Engineers, MLOps Engineers, Data Engineers, and Software Engineers working with Python, cloud, or AI.
  • Screen resumes and conduct initial candidate interviews to evaluate technical qualifications, communication skills, and cultural fit.
  • Coordinate interview schedules and maintain consistent communication with candidates and hiring managers throughout the recruitment process.
  • Build and maintain talent pipelines for future hiring needs.
  • Ensure an exceptional candidate experience from first contact through onboarding.
  • Track recruiting metrics and maintain accurate records in the Applicant Tracking System (ATS).
  • Stay current on market trends, compensation, and emerging technologies within AI and machine learning.
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