Principal AI Developer

About the job

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. • Innovative : 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.

Requirements

• Natural Language Processing
• TensorFlow
• PyTorch
• Data Analysis

Preferred Technologies

• Natural Language Processing
• TensorFlow
• PyTorch
• Data Analysis