OROracle
Talent Analytics & AI Specialist with AI Agent (IC3 / IC4)
Remote ₹3-8 LPA Posted 24 Oct 2025
FULL TIME
Machine Learning
Artificial Intelligence
Data Visualization
Nlp
Oracle
+1 more
Job Description
Key Responsibilities:
- Unlock insights from recruiting and talent data using Oracle Analytics Cloud and AI to identify trends, predict outcomes, and drive strategic decisions.
- Design, build, and deploy machine learning and generative AI solutions focused on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and intelligent search.
- Develop AI-driven recruiting tools that assess candidate potential, career paths, and cultural fit using NLP, ML, and advanced analytics.
- Translate complex analytical findings into clear, impactful insights and visual stories that inform business and talent strategies.
- Design and maintain robust data models and create engaging visual dashboards for better decision-making.
- Collaborate with Talent Acquisition teams and cross-functional partners to identify opportunities for AI integration and workflow optimization.
- Promote a data-driven culture by championing analytics-based decision-making across recruiting functions.
- Continuously innovate by exploring emerging AI, analytics, and visualization technologies to enhance talent insights.
- Ensure ethical, transparent, and responsible use of AI in all recruitment-related applications.
Qualifications & Skills:
- Proven experience applying AI and analytics to generate insights and business recommendations.
- Proficiency in data modeling, analytics, and visualization, with strong expertise in Oracle Analytics Cloud (OAC).
- Strong analytical and problem-solving skills with experience interpreting complex datasets.
- Excellent data storytelling skills – ability to translate analytical outputs into actionable narratives.
- Clear communication and collaboration skills for cross-functional teamwork.
- Strong critical thinking and ethical approach to AI-driven decision-making.
Good-to-Have:
- Hands-on experience with Python for AI and data analysis.
- Knowledge of talent acquisition, recruiting analytics, or HR data systems.
- Experience with NLP, machine learning frameworks, or large-scale data systems.
