This internship is ideal for final-semester students (2026 batch) seeking a semester-long internship, as well as freshers looking to build a strong foundation in applied machine learning. Key Responsibilities As a Machine Learning Intern, you will: Assist in building, training, and evaluating machine learning and deep learning models Work on data collection, cleaning, preprocessing, and feature engineering Implement ML algorithms using Python and relevant ML/DL libraries Support model development for: Classification, regression, and clustering problems NLP, speech, or analytics use cases (as applicable) Analyze model performance and help improve accuracy, efficiency, and scalability Collaborate with senior ML engineers to: Run experiments and document findings Optimize models for performance and reliability Write clean, reusable, and well-documented code Participate in code reviews, technical discussions, and sprint planning Gain exposure to deploying or integrating ML models into existing systems Basic Requirements Educational Background 2026 batch students in their final semester looking for a 6-month internship Freshers with strong ML fundamentals may also be considered Technical Skills Basic understanding of Machine Learning and Deep Learning concepts Proficiency in Python Good knowledge of Data Structures & Algorithms (DSA) Familiarity with NumPy, Pandas, and Scikit-learn Exposure to TensorFlow or PyTorch is a plus Foundational Knowledge Supervised and unsupervised learning concepts Model evaluation metrics Basic statistics and linear algebra Good to Have (Nice-to-Have) Hands-on projects or internships in ML/AI Exposure to NLP, speech processing, or analytics Experience with Jupyter notebooks, Git, or cloud environments Strong curiosity and willingness to learn and experiment Interview Process Round 1 – Resume Screening & Fundamentals Round 2 – Technical Deep Dive Round 3 – Final Round Final discussion to assess overall fit, problem-solving ability, and learning mindset Crack it, and you’re in!

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.