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Job Description
Talent Acquisition Specialist – Data & AI Ecosystems
Location: Jaipur/Noida/Pune/Hyderabad/Bengaluru
Job Type: Full-Time
Experience Level: 8+ years of technical recruiting experience, with 3+ years in a leadership/lead role
Position Overview
We are seeking a dynamic, deeply technical Talent Acquisition Specialist to spearhead our hiring strategy across the Data and AI ecosystems. In this role, you wont 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 Learning.
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 Leadership: Partner with VPs, Directors, and Engineering Leads to understand complex technical roadmaps and translate them into actionable hiring pipelines
- Full-Cycle Technical Recruiting: Personally manage the end-to-end recruitment lifecycle for high-impact roles (Data Engineers, AI/ML Scientists, Cloud Architects, MLOps Engineers)
- Niche Sourcing: Hunt for passive talent within specialized domains, including the Databricks ecosystem, Microsoft Azure cloud suite, and emerging AI/ML frameworks
- Market Intelligence: Serve as a subject matter expert on market trends, competitor mapping, and compensation benchmarks specifically within the Data and AI sectors
- Team Mentorship: Lead, mentor, or scale a small team of technical sourcers/recruiters, fostering a culture of excellence and continuous learning in modern tech stacks
- Candidate Experience: Ensure an empathetic, transparent, and rigorous interview process that reflects our brand values and keeps top-tier talent engaged
Required Skills & Qualifications
- Experience: 10+ years in technical recruiting, with a proven track record of successfully hiring for complex Data Modernization, Cloud, and AI/ML initiatives
- Domain Expertise: Deep understanding of the Databricks platform (Delta Lake, Lakehouse architecture) and the Microsoft Data Stack (Azure Synapse, Data Factory, Power BI, Microsoft Fabric
- AI/ML Literacy: Strong familiarity with the talent landscape surrounding Machine Learning, MLOps, LLMs, and Generative AI framework
- Sourcing Mastery: Advanced knowledge of sourcing techniques (Boolean search, GitHub, Kaggle, Hugging Face, tech communities, and specialized forums
- Communication: Exceptional screening and narrative-building skills—you can pitch a complex technical vision convincingly to passive, senior candidates
- Tools: Proficiency with modern ATS platforms (e.g., Greenhouse, Lever), CRM tools, and AI-driven sourcing platforms
Skills
Advanced AnalyticsMachine LearningAi/mlData ScientistData EngineerAnalyticsAiMlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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