AI Project Lead – Executive

AI Project Lead – Executive

Department:

Location:

Experience Required:

Salary Range:

Job Summary:

hands-on AI Recruitment Project Lead (Executive Level)

The ideal candidate will combine technical know-how with strong operational execution in HR tech, automation, and large-scale data handling. You will work closely with leadership to bring AI into every stage of the hiring lifecycle.

Key Responsibilities:

• Clean, convert, and structure bulk resume data (CSV/JSON)
• Oversee OCR processing for scanned PDFs using tools like Tesseract
• Manage resume storage in PostgreSQL, MongoDB, or Elasticsearch

Resume Parsing & Entity Extraction

• Integrate and configure parsing APIs (Rchilli, Affinda, HireAbility)
• Extract structured fields: Name, Skills, Experience, Location, Education

AI Matching & Shortlisting

• Implement semantic search using OpenAI Embeddings / Sentence-BERT
• Store embeddings in Pinecone / FAISS / Weaviate
• Build a scoring engine based on experience, skill match, and relevance

System Integration & Automation

• Automate recruitment pipeline: Resume Upload ➝ Parsing ➝ Scoring ➝ Shortlist
• Integrate with ATS platforms (Zoho Recruit, Greenhouse, Lever)
• Set up dashboards in Power BI / Streamlit for recruiter review

Chatbot Deployment & Candidate Interaction

• Configure AI chatbots (ChatGPT API, Botpress) to engage with candidates
• Automate FAQ responses, initial screening, and interview scheduling

Governance & Compliance

• Maintain full audit trails of AI decisions
• Ensure GDPR/IT Act compliance and fairness in AI operations

Technical Skills:

• Python, FastAPI, or Node.js for backend integration
• AI/ML libraries: spaCy, scikit-learn, Transformers
• Knowledge of OpenAI / Hugging Face APIs
• Experience with ATS tools and resume parsing systems
• Familiarity with vector search (FAISS, Pinecone) and cloud platforms

Preferred Qualifications:

• Graduate/Postgraduate in Computer Science, Data Science, or HR Technology
• Proven experience with AI-led hiring projects or large-scale automation
• Knowledge of HR analytics, compliance, and recruitment workflows

Key Performance Indicators (KPIs):

• Reduction in hiring turnaround time (TAT)
• % accuracy of AI shortlisting
• System integration efficiency
• Recruiter satisfaction & adoption rate
• Compliance readiness & audit success