Key Responsibilities: Strategy Development: Develop and implement sourcing strategies to attract top talent. Recruitment Process Management: Manage the end-to-end recruitment process from job posting to onboarding. Collaboration: Collaborate with TA Manager to identify current and future hiring needs. Candidate Experience: Ensure a positive candidate experience throughout the recruitment process. Metrics Monitoring: Monitor and analyze recruitment metrics to improve hiring practices. Industry Trends: Stay updated on industry trends and best practices in talent acquisition. External Relationships: Build and maintain relationships with external recruitment agencies. Qualifications: Education: Bachelor’s degree in human resources, Business Administration, or related field. Experience: 4+ years of experience in Talent Acquisition or Recruitment. Skills: Strong understanding of recruitment processes and techniques, excellent communication, interpersonal, and negotiation skills, ability to work in a fast-paced and dynamic environment, strong analytical and problem-solving skills. Skills: Applicant Tracking Systems (ATS) Interviewing techniques Talent sourcing Communication skills Negotiation skills Data analysis Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Health insurance Leave encashment Provident Fund Work from home Work Location: In person
Key Responsibilities: Develop well-structured curricula covering foundational and advanced topics in quantum technology. Create step-by-step learning modules starting with basics in mathematics, physics, and chemistry relevant to quantum. Write theory, explanations, examples, exercises, and case studies to support the learning journey. Develop concept notes, course handbooks, slide decks, quizzes, and assessments Convert complex technical concepts into clear, accessible, and engaging learning material. Collaborate with subject matter experts (SMEs) in quantum computing, chemistry, materials science, and finance. Write course content showing how quantum technology is applied in: Computational Chemistry – molecular simulations, protein-ligand docking, drug design. Drug Discovery – accelerating lead discovery, binding affinity prediction, quantum-enhanced screening. Material Science – battery materials, catalysts, superconductors, and electronic materials design. Finance – portfolio optimization, risk analysis, option pricing using quantum algorithms. Learning Experience Focus Ensure all content is modular, practical, and case study driven. Incorporate illustrations, examples, and enterprise outcomes. Design progressive learning paths from beginner to advanced level. Course Content Outline Foundational Modules Mathematics: linear algebra, probability, complex numbers, tensor products. Physics: quantum mechanics basics – superposition, entanglement, operators, Hamiltonians. Chemistry: electronic structure, molecular orbitals, reaction mechanisms. Quantum Technology Fundamentals Quantum computing basics: qubits, gates, circuits. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s. Quantum machine learning foundations. Quantum hardware overview: superconducting qubits, trapped ions, photonic systems. Domain-Specific Applications: Computational Chemistry & Drug Discovery - Quantum simulations of molecules. Protein-ligand docking with quantum accuracy. Drug target prediction. Material Science: Designing new battery/electrode materials. Quantum-enhanced material property prediction. Finance: Quantum optimization for portfolios. Monte Carlo simulations on quantum devices. Risk management use cases. Capstone & Enterprise Use Cases:Real-world case studies from industry leaders. Hands-on project ideas for learners. Business outcomes of adopting quantum technology. Requirements : Strong background in technical content writing or instructional design. Graduate/Postgraduate degree in Physics, Mathematics, Chemistry, Computer Science, or related fields. Prior experience creating educational content, MOOCs, or technical documentation. Ability to simplify complex concepts for diverse learners. Familiarity with quantum computing frameworks (Qiskit, etc.) is a plus. Excellent command of written English and strong research skills. Passion for education, science communication, and emerging technologies . Understanding of current trends in quantum technology applications . Ability to design interactive and engaging course material (videos, slides, quizzes). Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Leave encashment Life insurance Paid time off Provident Fund Work from home Work Location: In person