Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

As a

Principal AI Developer

in our Talent Acquisition team, you will lead the development of cutting-edge AI platforms that empower recruiters to make more informed, effective decisions throughout the talent acquisition lifecycle. You ll be at the forefront of designing AI-driven tools that enhance candidate engagement, improve sourcing strategies, and streamline the recruitment experience.

  • Innovate

    : Lead the design and development of AI-powered solutions to enhance the talent acquisition process and improve recruiter-candidate interactions.
  • AI Solutions for Recruiting

    : Create intelligent platforms that provide insights into candidate potential, career trajectories, and cultural fit by leveraging natural language processing (NLP), machine learning, and data analytics.
  • Collaborate

    : Work closely with product managers, engineers, and recruiting teams to identify opportunities where AI can improve efficiency and drive better hiring outcomes.
  • Mentor & Lead

    : Lead and guide a talented team of AI developers and data scientists, fostering collaboration and best practices across AI development projects.
  • Impact

    : Drive the development of AI tools that influence how organizations connect with, evaluate, and hire exceptional talent
  • Experience

    : 8+ years of hands-on experience in AI/ML development, with a proven ability to create impactful AI-driven products for real-world applications.
  • AI Expertise

    : Deep knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch), with a focus on NLP, predictive modeling, and data analysis.
  • Recruiting Insight

    : A strong interest in transforming the recruitment experience using AI, with a deep understanding of the challenges and opportunities in talent acquisition.
  • Leadership

    : Proven ability to lead teams and inspire innovation while ensuring a collaborative, creative, and agile development environment.
  • Technical Excellence

    : Expertise in building scalable AI models and applications, with a focus on performance, reliability, and user-centric design.
  • Clear Communication

    : Strong ability to convey complex technical concepts to both technical and non-technical stakeholders, facilitating collaboration and buy-in.

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