Zyngate

We are looking for a passionate Python AI/ML Developer Intern to join our team and contribute to building cutting-edge AI solutions. As an intern, you will gain hands-on experience working on deep learning models, data pipelines, and deployment using FastAPI. You will collaborate with our development team to design, train, and optimize models that power our core products. Work shift is 10:00 am - 7:00 pm IST non-negotiable Internship Duration - 6 months Number of open positions - 2 Remote working environment with a collaborative team This position is open globally Responsibilities Research, design, and implement deep learning models for real-world applications. Work on data preprocessing, augmentation, and feature engineering to prepare datasets for training. Train and fine-tune custom AI/ML models to achieve optimal accuracy and efficiency. Build and maintain APIs for AI model inference using FastAPI. Assist in experiment tracking, evaluation, and hyperparameter tuning. Write clean, efficient, and well-documented Python code. Requirements Strong proficiency in Python and popular ML/DL frameworks (TensorFlow, PyTorch, or Keras). Understanding of deep learning concepts (CNNs, RNNs, Transformers, etc.). Experience with model training, evaluation, and deployment. Knowledge of FastAPI or similar web frameworks for serving ML models. Familiarity with NumPy, Pandas, scikit-learn, and data visualization libraries. Ability to work with large datasets and optimize model performance. Problem-solving mindset and eagerness to learn new technologies. Must Haves Knowledge of Python Programming language and AI integrations, Automations, Deployments etc. Experience with cloud platforms (AWS, GCP, or Azure). Understanding of MLOps tools (MLflow, DVC, Docker). Familiarity with SQL/NoSQL databases. knowledge of version control (Git/GitHub). Good To Haves Bachelor's from a Tier-1 or Tier-2 school in computer science. Knowledge of Docker Good knowledge of Devops concepts Perks & Benefits Hands-on exposure to real-world AI/ML projects. Opportunity to work on end-to-end AI model lifecycle (research → training → deployment). Certificate & recommendation on successful completion. Potential pathway to a full-time role based on performance. NOTE Please note that this is an unpaid internship with a possibility of either turning into a paid internship or a FT opportunity during and/or after completion of internship. Salary and working hours are non-negotiable. Please apply only if you agree to these terms.