Job Description – HR Intern (Onsite, Mohali) Location: Mohali Office (Onsite) Duration: 3 Months (Internship) About RChilli RChilli is a leading provider of HR technology solutions, empowering organizations to streamline their talent management processes. We believe in innovation, continuous learning, and providing growth opportunities for aspiring professionals. Role Overview We are looking for a detail-oriented HR Intern to support the development and implementation of our Performance Management System (PMS) model . This role is ideal for someone who wants to gain hands-on experience in HR analytics, data management, and performance evaluation frameworks. The intern will work closely with the HR team to strengthen processes around employee performance tracking and reporting. Key Responsibilities Assist in designing, structuring, and refining the Performance Management System (PMS) model . Support the creation and maintenance of performance metrics, scorecards, and evaluation templates. Collect, organize, and analyze employee performance data to generate insights. Prepare reports and dashboards for leadership review. Conduct research on best practices in performance management and suggest improvements. Assist in communication and documentation related to PMS policies and processes. Provide administrative and operational support for PMS-related activities. Requirements Currently pursuing or recently completed a degree in HR, Business Administration, or related field. Strong analytical and research skills with attention to detail. Good knowledge of MS Excel/Google Sheets; familiarity with HR metrics or dashboards is a plus. Excellent communication and documentation abilities. Eagerness to learn and contribute in a data-driven HR environment. What We Offer Exposure to performance management systems and HR analytics . Opportunity to work on a live PMS model implementation project. Mentorship and guidance from senior HR professionals. Internship certificate upon successful completion.
Job Description Role - AI Engineer Intern Exp - 6 months - 1year Location - Mohali, PB Work Mode - Work from office ( 10-8pm IST) Position Overview We are seeking a highly motivated AI Engineer Intern to join our engineering team. This is an exciting opportunity to work alongside experienced engineers and researchers to develop, train, and deploy AI models. You’ll also explore and implement modern AI tools to improve workflows and enhance productivity across internal teams. Key Responsibilities Assist in designing, developing, and testing machine learning models. Collect, clean, and preprocess datasets for training and evaluation. Perform exploratory data analysis (EDA) to extract meaningful insights. Implement and optimize algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with cross-functional teams to integrate models into production environments. Explore emerging AI tools and platforms (e.g., automation, NLP assistants, no-code AI, etc.) and evaluate their applicability to internal operations. Prototype and implement AI-driven solutions to streamline internal processes, such as documentation, data analysis, reporting, or workflow automation. Document findings, models, and codebase to ensure reproducibility. Stay updated with the latest trends and advancements in AI/ML. Qualifications Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Solid understanding of machine learning concepts and algorithms. Proficiency in Python and common ML libraries (e.g., NumPy, pandas, scikit- learn). Experience with deep learning frameworks such as PyTorch or TensorFlow is a plus. Familiarity with NLP, computer vision, or time series analysis is a bonus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications Previous project or internship experience in AI/ML. Interest or experience in productivity tools, automation, or process optimization. Knowledge of cloud platforms (AWS, GCP, or Azure). Experience with version control (e.g., Git) and collaborative development.
Job Description Role - AI Engineer Intern Exp - 6 months - 1year Location - Mohali, PB Work Mode - Work from office ( 10-8pm IST) Position Overview We are seeking a highly motivated AI Engineer Intern to join our engineering team. This is an exciting opportunity to work alongside experienced engineers and researchers to develop, train, and deploy AI models. You’ll also explore and implement modern AI tools to improve workflows and enhance productivity across internal teams. Key Responsibilities Assist in designing, developing, and testing machine learning models. Collect, clean, and preprocess datasets for training and evaluation. Perform exploratory data analysis (EDA) to extract meaningful insights. Implement and optimize algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with cross-functional teams to integrate models into production environments. Explore emerging AI tools and platforms (e.g., automation, NLP assistants, no-code AI, etc.) and evaluate their applicability to internal operations. Prototype and implement AI-driven solutions to streamline internal processes, such as documentation, data analysis, reporting, or workflow automation. Document findings, models, and codebase to ensure reproducibility. Stay updated with the latest trends and advancements in AI/ML. Qualifications Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Solid understanding of machine learning concepts and algorithms. Proficiency in Python and common ML libraries (e.g., NumPy, pandas, scikit- learn). Experience with deep learning frameworks such as PyTorch or TensorFlow is a plus. Familiarity with NLP, computer vision, or time series analysis is a bonus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications Previous project or internship experience in AI/ML. Interest or experience in productivity tools, automation, or process optimization. Knowledge of cloud platforms (AWS, GCP, or Azure). Experience with version control (e.g., Git) and collaborative development.