Padmi

Python & Ai/ml Intern (Vijay Nagar)

MumbaiPosted 1 month ago
Software engineeringInternFull Time; Regular
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Position: Python & AI/ML Developer Intern Duration: 6 Months Location: In-office Type: Internship Start Date: Immediate About the Role You will work closely with our development and data teams to build, test, and optimize ML models and Python scripts. Key Responsibilities - Write clean and efficient Python code for ML and automation tasks. - Assist in building machine learning models training, testing, evaluation, and optimization. - Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis. - Work with Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch (as applicable). - Collaborate with the team on AI/ML projects, prototypes, and research tasks. - Build small modules or scripts for data automation and workflow improvements. - Assist in model deployment, testing, and documentation. - Participate in code reviews and follow best practices in coding and ML development. Required Skills: - Robust knowledge of Python and OOP concepts. - Basic understanding of Machine Learning algorithms (supervised & unsupervised). - Familiarity with key ML libraries: - Numpy, Pandas, Scikit-Learn, - Tensorflow, Keras, Pytorch - Understanding of data preprocessing and handling datasets. - Knowledge of Jupyter Notebook, Git/GitHub. - Good analytical and problem-solving abilities. Good to Have - Understanding of deep learning, NLP, or computer vision. - Knowledge of SQL or any database. - Experience working on personal or academic ML projects. - Exposure to REST APIs or Flask/Django for model integration. Eligibility - Recently completed B.Tech/M.Tech/BCA/MCA in CS, IT, AI/ML, Data Science, or related fields. What You Will Gain - Hands-on exposure to real AI/ML projects and data workflows. - Opportunity to work on end-to-end model development pipelines. - Mentorship from experienced professionals in Python & AI/ML. - A strong project portfolio to support future job opportunities. - Certificate of Internship.: - Consideration fo .

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