Machine Learning Engineer Intern

We are looking for a passionate and driven Machine Learning Intern to join our team for a 6-month internship. This is a hands-on role ideal for candidates with a strong foundation in data science and machine learning, who are eager to gain real-world experience and contribute to impactful AI/ML projects. Top-performing interns may be considered for a pre-placement offer (PPO) based on performance. Key Responsibilities Support the ML team in developing and deploying machine learning models Work with structured and unstructured datasets to extract insights and patterns Assist in data preprocessing, cleaning, and feature engineering tasks Contribute to experimentation with models including classification, regression, NLP, or generative AI Document findings, share insights, and collaborate in an agile environment Requirements Strong foundational knowledge of data science and machine learning Hands-on experience with Python and libraries such as NumPy, pandas, scikit-learn, etc. Familiarity with machine learning concepts including supervised/unsupervised learning, model evaluation, etc. Exposure to data preprocessing, exploratory data analysis, and model training Strong problem-solving skills and eagerness to learn and grow in a fast-paced environment Good communication and collaboration abilities Good to Have Basic understanding of deep learning, NLP, or computer vision Experience working with Jupyter Notebooks, Git, and cloud platforms (e.g., AWS, Azure) Familiarity with tools like TensorFlow, PyTorch, or Hugging Face