We are seeking a skilled and innovative AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions to solve complex business problems. The ideal candidate has a deep understanding of machine learning algorithms, data processing, and model deployment in production environments. Candidate should have very strong Knowledge in Python and havndle the project individually. Key Responsibilities: Develop and implement ML models for classification, regression, clustering, NLP, or computer vision tasks. Preprocess and clean large datasets for training and evaluation. Design and optimize algorithms to improve model accuracy and performance. Deploy ML models into production using frameworks like TensorFlow Serving, TorchServe, or cloud services. Monitor and maintain models post-deployment to ensure performance and accuracy over time. Conduct experiments and A/B tests to evaluate model effectiveness. Stay updated with the latest research in AI/ML and incorporate best practices. Collaborate with cross-functional teams (data engineers, product managers, and software developers) to integrate AI/ML solutions. Required Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, AI/ML, or related fields . Strong understanding of machine learning algorithms (e.g., SVM, Random Forest, XGBoost, Neural Networks). Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras . Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn . Hands-on experience with cloud platforms (AWS, GCP, Azure) for ML model deployment. Knowledge of data preprocessing, feature engineering