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Technical Recruiter

Remote - United States

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

We are seeking an experienced Technical Recruiter to support high-volume and specialized hiring efforts for technical roles across our organization. The ideal candidate has a proven track record of successfully recruiting Data Scientists, Machine Learning Engineers, AI Engineers, and other highly technical talent in a fast-paced environment.
This is a full-time position with the opportunity to make an immediate impact by building strong candidate pipelines and partnering closely with hiring managers to fill critical technical roles.
Key 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 highly specialized technical positions, including:
    • Data Scientists
    • Machine Learning Engineers
    • AI Engineers
    • MLOps Engineers
    • Data Engineers
    • Software Engineers (Python, Cloud, 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • Experience recruiting for startup or high-growth technology companies.
  • Familiarity with cloud platforms (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.

 

The expected salary range for this position is $140,000 – $160,000 USD per year, based on experience, skills, and qualifications.

 

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. 

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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