Sr Talent Acquisition Specialist

Koantek; Mumbai; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Koantek in Mumbai is seeking a strategic Senior Talent Acquisition Specialist to lead end-to-end recruitment for niche Data, AI, and Data Science roles. You will drive targeted sourcing, passive candidate engagement, and strong leadership collaboration to calibrate hiring strategies and close complex roles.

The role emphasizes deep technical recruitment, proactive headhunting, and talent mapping to build robust pipelines for immediate and future needs across Data Engineering, ML, GenAI, and

Responsibilities

• End-to-End Talent Acquisition: Full Lifecycle Hiring across Data Engineering, Data Science, ML, GenAI, MLOps, Data Architecture, Cloud Data, and Advanced Analytics.
• Sourcing Strategy: Translate complex technical job requirements into targeted sourcing strategies and build robust talent pipelines.
• Headhunting Targeted Search: Proactive search and map talent pools to engage passive candidates.
• Relationship Building: Foster long-term relationships with niche technical professionals.
• Advanced Sourcing Intelligence: Digital sourcing via LinkedIn Recruiter, GitHub, Boolean/X-ray search, and market intelligence on trends and compensation.
• Stakeholder Candidate Management: Partner with CTOs/CIOs and engineering leaders; manage offers and negotiations.
• Technical Focus Areas: Data Engineering, AI/ML, Cloud Modern Stack, Data Science Analytics.

Job description

Role Overview

We are looking for a strategic, research-driven Senior Talent Acquisition Specialist to drive targeted end-to-end recruitment for niche Data, AI, and Data Science roles. This role requires deep technical recruitment expertise, proactive headhunting, and talent mapping to engage passive candidates in non-volume hiring scenarios.

Key Responsibilities

• End-to-End Talent Acquisition
  • Full Lifecycle Hiring: Manage end-to-end recruitment across Data Engineering, Data Science, Machine Learning, Generative AI, MLOps, Data Architecture, Cloud Data, and Advanced Analytics.
• Sourcing Strategy: Translate complex technical job requirements into targeted sourcing strategies and build robust talent pipelines for immediate and future needs.
• Headhunting Targeted Search
  • Proactive Search: Personally lead targeted headhunting efforts and map talent pools across companies, geographies, and technology stacks to engage high-caliber passive candidates.
• Relationship Building: Employ creative engagement approaches and foster long-term relationships with niche technical professionals.
• Advanced Sourcing Intelligence
  • Digital Sourcing: Utilize LinkedIn Recruiter, GitHub, Boolean/X-ray search, professional communities, and digital channels to identify technical talent.
  • Market Intelligence: Provide leadership with actionable insights on market trends, skills availability, compensation standards, competitor hiring patterns, and talent concentrations.
• Stakeholder Candidate Management
  • Strategic Partnership: Partner closely with CTOs, CIOs, and engineering leaders as a trusted advisor to calibrate requirements and set hiring strategies.
  • Offer Management: Articulate complex technology opportunities to candidates and effectively manage end-to-end offer discussions and negotiations.
• Technical Focus Areas
  • Data Engineering: Big Data, Data Warehousing, Data Architecture, Databricks, Snowflake, ETL/ELT, SQL.
  • AI Machine Learning: Machine Learning, Deep Learning, Generative AI/LLMs, NLP, Computer Vision, MLOps.
  • Cloud Modern Stack: AWS/Azure/GCP, Data Lakes/Lakehouse, Data Governance.
  • Data Science Analytics: Applied/ML/Decision Scientists, Product Analytics, Advanced Analytics, Business Intelligence.

Key Requirements Differentiators

• Experience: 68 years of experience in technical recruitment with a proven track record of hiring niche Data, AI, and Data Science talent.
• Search Expertise: Demonstrated expertise in headhunting, passive candidate outreach, LinkedIn Recruiter, Boolean search, and structured market mapping.
• Technical Depth: Ability to differentiate subtle skill sets (e.g., Data Engineer vs. ML Engineer vs. GenAI Specialist) beyond simple keyword matching.
• Network: Strong network within top technology firms, AI companies, product organizations, or specialized consulting practices.
• Soft Skills: Exceptional communication, influencing, executive presence, and stakeholder management capabilities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.