Key Responsibilities: • Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI and ML integration. • Develop and implement machine learning models, algorithms, and neural networks for real-world applications. • Design, train, and evaluate AI/ML models for tasks such as natural language processing, computer vision, predictive analytics, and recommendation systems. • Optimize and fine-tune models to achieve desired performance metrics and scalability. • Explore and integrate new AI/ML technologies and frameworks to stay at the cutting edge of the field. • Troubleshoot, debug, and resolve issues related to AI/ML model performance and deployment. • Document and communicate complex technical concepts and solutions to both technical and non-technical stakeholders. • Mentor and provide guidance to junior members of the AI/ML team. • Stay up-to-date with the latest developments in AI/ML by conducting research, attending conferences, and participating in knowledge-sharing initiatives. Qualifications: • Bachelor's or Master's degree in computer science, data science, or a related field. • Minimum of 4+ years of professional experience in AI and ML development. • Proven experience in developing and implementing practical AI and ML use cases, including neural networks. • Proficiency in popular machine learning libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, or similar. • Strong programming skills in languages such as Python and proficiency in data manipulation and analysis. • Familiarity with deep learning techniques, including convolutional and recurrent neural networks. • Experience with model deployment and integration into production systems. • Solid understanding of data preprocessing, feature engineering, and model evaluation. • Strong problem-solving and analytical skills.