Intern - Talent Partner (Night Shift)

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3200+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Winner of Best in Business Award in Established Business category by INC., 2022 Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform It is an exciting time to join our Talent Acquisition team. With our growing needs, we are looking for an experienced Talent Acquisition professional to help us grow in North America geography. If you are a Rockstar recruiter driven by excellence and curiosity this is YOUR opportunity to deepen your experience with cutting-edge technology: Data Science, Cloud, Artificial Intelligence, Machine Learning and GenAI. Location: Mumbai, Maharashtra Working Shift: 6PM - 3AM IST Required Skills: Ability to prioritize as needed while handling multiple time-sensitive projects and maintaining a high level of attention to detail in a very fast-paced environment Strong organizational skills, work ethic, initiative, sense of urgency and attention to detail Strong communication, writing and oral presentation skills, with the ability to liaise with stakeholders at various levels of management, including very senior interactions and manage expectations Strong technical skills, including significant experience using Google Workspace Prior knowledge of Workday ATS will be a big plus Responsibilities: Comprehensive planning and execution of the entire recruitment lifecycle for US and Canada Geographies. Designing and posting of job vacancies at the best performing recruitment channels (responsiveness, quality and costs) to attract fulltime job seekers. Proactive building talent pool by fetching quality candidates against the open/ expected positions. Research and recommend new sources for active and passive hunting. Extensive use of social and professional networking sites to identify potential talent Responsible for managing requisitions and applicants in the given time frame/ SLAs Responsible for MIS reporting and data management. Prioritizing and balancing the recruitment needs as per the business criticality. Communicate progress on assigned job vacancies on a regular basis, advice on the action plan to close the position in the given SLAs. Provide regular feedback and advice on the hiring performance to enhance the recruitment process Ability to receive “real time feedback” and collaborate cohesively with the TA teams, Hiring Teams and supporting functions of the organization. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud