{"id":2390838,"url":"https://alion.io/job/koantek-talent-acquisition-lead","title":"Talent Acquisition Lead","company":{"id":3800091,"name":"Koantek","domain":"koantek.com","url":"https://alion.io/company/koantek","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"C","score":65,"open_postings":29,"ghost_share":0.586,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-25T05:49:26Z"}},"role":"HR","role_family":"HR","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"LinkedIn","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-25T17:08:18Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":47},"description":"Role Overview We are looking for a strategic, research-driven Talent Acquisition Lead 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\nResponsibilities 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 Candidates must possess functional familiarity across the following technical domains to conduct intelligent screenings: 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: 6-8 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. 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