AI and Machine learning

Role Overview: You will be responsible for designing, building, and implementing machine learning models and algorithms. Additionally, you will analyze large datasets, perform data cleaning, and conduct feature engineering. Training models, running tests, and evaluating performance will also be part of your role. Furthermore, you will deploy models into production environments, optimize them for performance, and collaborate with cross-functional teams. Key Responsibilities: - Design, build, and implement machine learning models and algorithms. - Analyze large datasets, identify patterns, and perform data cleaning and feature engineering. - Train models, perform statistical analysis, run tests, and evaluate performance. - Deploy models into production environments and integrate them with existing software systems. - Optimize models for performance and scalability and maintain the AI pipelines. - Stay updated on the latest AI/ML advancements and collaborate with cross-functional teams. Qualifications Required: - Proficiency in programming languages such as Python, with knowledge of Java and R being beneficial. - Deep understanding of machine learning algorithms, data structures, and statistical methods. - Experience with ML frameworks like TensorFlow, PyTorch, and libraries such as scikit-learn. - Strong analytical and problem-solving skills. - A Bachelor's degree in Computer Science, Mathematics, or a related field is common, while a Master's degree is often preferred.,