AIMagic Technologies is hiring an AIML Engineer Intern to work on real-world machine learning projects alongside our core AI team. This is a full-time, on-site internship in Pune focused on hands-on model development, experimentation, and applied ML use cases. This role is ideal for students or recent graduates who want practical industry exposure beyond academic coursework. Responsibilities Assist in data cleaning, preprocessing, and exploratory data analysis Build, train, and evaluate machine learning models using Python Work with libraries such as scikit-learn, PyTorch, or TensorFlow Run experiments, tune hyperparameters, and analyze model performance Write clean, maintainable, and well-documented code Collaborate with engineers to support model integration and testing Requirements Currently pursuing or recently completed a degree in Computer Science, IT, AI/ML, or related field Good understanding of machine learning fundamentals Hands-on experience with Python and ML libraries Familiarity with pandas, NumPy, and basic data analysis Ability to work from office in Pune during the internship Willingness to learn and take ownership of assigned tasks Nice to Have Exposure to NLP, deep learning, or computer vision GitHub or project portfolio Basic understanding of SQL or cloud platforms Internship Details Location: Pune, Maharashtra (On-site) Duration: 3–6 months Stipend: ₹20,000 per month (fixed) Opportunity for full-time role based on performance How to Apply Apply via Indeed with your resume. Shortlisted candidates will be contacted for a telephonic screening followed by a technical assignment. Job Types: Full-time, Fresher Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Work from home Work Location: In person
As a junior data scientist at AIMagic Technologies, you will have the opportunity to work on cutting-edge projects in Python, machine learning, data science, natural language processing (NLP), and artificial intelligence. You will be a key player in developing innovative solutions that drive business growth and enhance user experiences. Key Responsibilities Collaborate with senior data scientists to build and deploy machine learning models that optimize business processes. Conduct data analysis to extract valuable insights and trends from large datasets. Develop and implement algorithms for natural language processing tasks, such as sentiment analysis and text classification. Work on AI projects that leverage advanced algorithms to automate decision-making processes. Support the development of AI-driven applications that enhance customer interactions and user engagement. Stay up-to-date with the latest trends and advancements in data science and AI technologies. Contribute to a collaborative team environment by sharing knowledge and best practices with colleagues. Other Daily Tasks Working on data preprocessing, analysis, and feature engineering for ML models Assisting in building, training, and evaluating machine learning models using Python Implementing algorithms using libraries such as scikit-learn, PyTorch, or TensorFlow Running experiments, tuning model parameters, and analyzing results Writing clean, readable, and well-documented code Collaborating with the team to integrate models into applications or pipelines Preparing short documentation or reports explaining model performance and learnings If you are a driven and passionate individual with a strong foundation in Python, machine learning, data science, NLP, and AI, we invite you to join our team and make a significant impact in the world of AI technology. About Company: AIMagic Technologies is a technology-driven company focused on building practical AI and machine learning solutions for real-world business problems. We work on applied ML use cases involving data analysis, model development, and AI-powered product features. As a small and fast-growing team, we emphasize hands-on learning, real project ownership, and close mentorship from experienced engineers and data scientists. Interns at AIMagic Technologies work directly on live projects and gain exposure to the complete ML development lifecycle, from data preparation and experimentation to model evaluation and deployment. We believe in learning by doing and aim to create a strong foundation for students and early-career professionals looking to build a career in AI and machine learning.