Talent Acquisition Specialist – Data & AI Ecosystems

Location : Noida

Job Type : Full-Time

Experience Leve l: 10+ years of technical recruiting experience, with 4+ years in a leadership/lead role

Position Overview

We are seeking a dynamic, deeply technic al Talent Acquisition Specialist to spearhead our hiring strategy across t he Data and AI ecosyst ems. In this role, you won't just match keywords to resumes; you will act as a strategic partner to our engineering and data leadership teams. You will design and execute sourcing strategies to land top-tier talent fluent in Databricks, Microsoft Azure Data stacks, Advanced Analytics, and Generative AI/Machine Learn ing.

If you understand the difference between a data engineer and a data scientist, know how to spot a stellar MLOps expert, and love building high-performing technical teams, we want to talk to you

Core Responsibilities

- Strategic Leaders hip: Partner with VPs, Directors, and Engineering Leads to understand complex technical roadmaps and translate them into actionable hiring pipelines
- Full-Cycle Technical Recruit ing: Personally manage the end-to-end recruitment lifecycle for high-impact roles (Data Engineers, AI/ML Scientists, Cloud Architects, MLOps Engineers)
- Niche Sourc ing: Hunt for passive talent within specialized domains, including the Databr icks ecosyst em, Microsoft A zure cloud suite, and emerging AI/ML frameworks
- Market Intellige nce:



Serve as a subject matter expert on market trends, competitor mapping, and compensation benchmarks specifically within the Data and AI sectors
- Team Mentors hip: Lead, mentor, or scale a small team of technical sourcers/recruiters, fostering a culture of excellence and continuous learning in up-to-date tech stacks
- Candidate Experie nce: Ensure an empathetic, transparent, and rigorous interview process that reflects our brand values and keeps top-tier talent engaged

Required Skills & Qualifications

- Experi ence: 10+ years in technical recruiting, with a proven track record of successfully hiring for com plex Data Modernization, Cloud, and AI/ML initiatives
- Domain Exper tise: Deep understanding of the Datab ricks platform (Delta Lake, Lakehouse architecture) and the Microsoft Data Stack (Azure Synapse, Data Factory, Power BI, Microsoft Fabric
- AI/ML Lite racy: Strong familiarity with the talent landscape surrounding Machine Learning, MLOps, LLMs, and Generative AI framework
- Sourcing Mas tery: Advanced knowledge of sourcing techniques (Boolean search, GitHub, Kaggle, Hugging Face, tech communities, and specialized forums
- Communica tion: Exceptional screening and narrative-building skills—you can pitch a complex technical vision convincingly to passive, senior candidates
- T ools: Proficiency with modern ATS platforms (e.g., Greenhouse, Lever), CRM tools, and AI-driven sourcing platforms

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