Padmi

AI/ML Intern (Machine Learning & Generative AI) (Rangareddy)

HyderabadPosted 1 month ago
Data Science And StatisticsInternFull Time; Regular
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We are looking for a motivated AI/ML Intern to join our team and work on real-world machine learning and generative AI projects. This internship offers hands-on experience in building, training, and deploying AI models while collaborating with experienced engineers and product teams. Key Responsibilities - Assist in developing and implementing machine learning models. - Work with structured and unstructured datasets for data preprocessing and analysis. - Build and evaluate predictive models using Python and popular ML libraries. - Develop AI-powered applications using Large Language Models (LLMs) and prompt engineering. - Experiment with Retrieval-Augmented Generation (RAG) and vector databases. - Support model deployment, testing, and performance optimization. - Research emerging AI technologies and contribute innovative ideas. - Document experiments, findings, and technical implementations. Required Skills - Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Strong programming skills in Python. - Basic understanding of machine learning concepts and algorithms. - Familiarity with libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch. - Knowledge of SQL and data analysis. - Understanding of Generative AI, LLMs, or prompt engineering is a plus. - Strong analytical and problem-solving skills. - Good communication and teamwork abilities. Preferred Qualifications - Experience with LangChain, LlamaIndex, or similar AI frameworks. - Familiarity with APIs, REST services, or FastAPI. - Knowledge of Git and version control. - Experience with cloud platforms (AWS, Azure, or GCP) is a plus. - Personal, academic, or open-source AI/ML projects are highly valued. Internship Details - Employment Type: Internship - Duration: 36 months - Work Mode: In office Compensation: 15,000.00 - 20,000.00 per month Work Location: In person .

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