3 Evaluation Frameworks Jobs

Job Opening: Senior Talent Acquisition Manager FMCG Sector ???? Location: AIHP Signature, Gurugram ???? Reporting To: Founder / COO / HR Head ???? Apply at: [HIDDEN TEXT] ???? Experience Required: 712 years (FMCG only Strictly Mandatory) ???? Company: Prince Food Tech Pvt Ltd (Leading Legacy FMCG Group) ???? Employment Type: Full-time ???? About the Company: We are a well-established FMCG company with a wide national presence and a strong brand legacy across India. As we gear up for our next phase of expansion, were investing in building a high-performance leadership team. We are now hiring a seasoned Talent Acquisition professional who brings deep FMCG hiring expertise, process maturity, and the ability to lead end-to-end recruitment for a fast-scaling, multi-function organization. ???? Strict Must-Haves: - 712 years of experience in Talent Acquisition (FMCG / Consumer Goods / D2C only) - Proven history of working in or scaling teams within FMCG companies - Experience in both lateral and volume hiring across multiple functions - Strong command over sourcing, evaluation frameworks, and hiring strategy - Must have led hiring across Sales, Marketing, SCM, R&D, and Corporate roles - Hands-on with ATS/CRM tools, Excel-based hiring dashboards, and LinkedIn/Naukri sourcing - Prior experience working with founders or CXOs on manpower planning and hiring KPIs 1. Strategic Hiring Execution - Own end-to-end recruitment across all core business functions - Partner with business heads for quarterly & annual hiring forecasts - Maintain structured hiring tracker, JD bank, and SOPs 2. Sourcing & Employer Branding - Leverage multiple channels: LinkedIn, IIMJobs, Naukri, referrals, agencies - Build our presence on LinkedIn, Glassdoor, and drive campus engagement - Map talent across competitor organizations and build internal intelligence 3. Screening & Selection - Setup structured interview panels with scorecards - Ensure alignment to culture, speed of closure, and quality of hire - Run assessments/assignments wherever relevant 4. Talent Pipeline & Bench Building - Build a monthly Ready Now & Ready Soon pipeline for key functions - Develop MT/Intern programs, especially for frontline Sales/Ops roles - Build backup and succession pipelines proactively 5. Process, Metrics & Onboarding - Define and track KPIs like TAT, Offer Acceptance, Source Effectiveness - Implement and manage ATS/CRM tools and hiring dashboards - Drive 30-60-90 onboarding journeys for key roles ???? Bonus if you have: - Scaled team size from <100 to 500+ employees - Led national-level field sales hiring - Worked in high-growth, founder-led or PE-backed FMCG environments Why This Role - Be part of a legacy FMCG brand entering hyper-growth mode - Own the entire national hiring mandate - Work directly with founders and senior leadership - Opportunity to build from scratch, lead a team, and create long-term impact ???? How to Apply: Send your CV to: [HIDDEN TEXT] ???? Position based full-time in Gurugram Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. In this role, you will play a key role in seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. You will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. Leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives. Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources. Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication. Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance. We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

Role & Responsibilities Conduct original research on AI applications, focusing on machine learning algorithms and data-driven methodologies. Design, implement, and evaluate innovative algorithms to solve complex problems in various domains. Collaborate with cross-functional teams to integrate research findings into production systems and prototypes. Analyze and interpret large datasets to extract meaningful insights and validate research hypotheses. Stay current with the latest developments in the AI field and contribute to scholarly publications. Mentor junior researchers and contribute to a collaborative and stimulating research environment. Skills & Qualifications Must-Have Master's degree or PhD in Computer Science, Artificial Intelligence, or related field. Strong knowledge of machine learning and AI algorithms. Proficiency in Python programming for AI applications. Experience in statistical modeling and data analysis techniques. Hands-on experience with natural language processing (NLP) methods. Preferred Familiarity with deep learning frameworks such as TensorFlow or PyTorch. Experience in conducting peer-reviewed research and publications. Excellent problem-solving skills and creativity. Benefits & Culture Highlights Collaborative and innovative work environment that nurtures creativity. Opportunities for professional development and continuous learning. Supportive team culture valuing diversity and inclusion.