Python Developer

You are a Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. Your primary responsibility will be to develop, train, and deploy machine learning models using Python. You will collaborate with data science and engineering teams to create intelligent solutions that address real-world problems. Your tasks will include working on AI-driven applications such as predictive modeling, natural language processing, and computer vision based on project requirements. You will need to preprocess, clean, and transform data for training and evaluation purposes. Model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch will also be part of your role. It is essential for you to write modular, efficient, and testable code and document processes, models, and experiments clearly for team use and future reference. Staying updated with the latest trends and advancements in AI and machine learning is crucial for this position. You should possess 2 to 3 years of hands-on experience with Python programming. A solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) is necessary. Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn is required, as well as exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Good knowledge of data structures and algorithms, model evaluation techniques, and performance metrics is expected. Having familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving skills are essential for this role. Ideally, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. Experience with deploying ML models using Flask, FastAPI, or Docker is preferred. Knowledge of MLOps and model lifecycle management is an advantage, and understanding of NLP or Computer Vision is a plus.,