Key Responsibilities: Perform data cleaning, feature engineering, and preprocessing for machine learning tasks. Assist in training, tuning, and evaluating ML models using tools like Python, Scikit-learn, and TensorFlow. Collaborate with engineers on AI model deployment strategies and production workflows. Contribute to technical documentation, research summaries, and experiment reports. Required Skills & Knowledge: Strong understanding of machine learning algorithms, concepts, and model development lifecycle. Hands-on experience with Python and ML libraries such as Scikit-learn, Pandas, and TensorFlow/Keras. Curiosity for AI research, deep learning models, and data-driven problem-solving. Ability to write clear, concise documentation and communicate technical ideas effectively. Who Should Apply: Final-year students, fresh graduates, or early-stage professionals pursuing a career in AI/ML. Ideal for research enthusiasts and aspiring data scientists who want to work in a structured, real-time AI environment.

About shamiit

Founded in December 2022, Shami Innovation and Technologies LLP (SHAMIIT) started as a software development company with a vision to create scalable, technology-driven solutions. Over time, it transformed into a leading research and innovation firm, focusing on AI, automation, sustainability, and new-age business models.