The AI/ML Engineer Career Readiness Program provides participants with hands-on exposure to designing, developing, and deploying machine learning and artificial intelligence solutions to address real-world problems. Participants gain experience working with large datasets, building and evaluating predictive models, and understanding how algorithms are optimized and deployed in practical applications.Beyond technical skill development, the program includes comprehensive career readiness training to help participants confidently pursue AI and machine learning roles. This training includes resume development, interview preparation, LinkedIn profile optimization, and professional communication skills.

Required Skills:-Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.-Strong understanding of machine learning algorithms and deep learning architectures.-Experience with data preprocessing, feature engineering, and model evaluation.-Knowledge of cloud platforms and MLOps.-Problem-solving and analytical skills.Job Type: Full-TimeWorking Settings: HybridWhat We Offer:-Hands-on experience in building and deploying machine learning models.-Mentorship from experienced AI/ML professionals.-Exposure to real-world AI projects and challenges.-A dynamic and collaborative work environment. Qualifications:-Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.-Strong understanding of machine learning algorithms and principles.-Experience with programming languages such as Python, R, or similar.-Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).-Ability to work with large datasets and knowledge of data preprocessing techniques.-Solid understanding of statistics and mathematics as it relates to machine learning.-Strong analytical and problem-solving skills.-Good communication skills and the ability to work in a collaborative environment.-Experience with cloud platforms (AWS, GCP, Azure) and version control systems (e.g., Git) is a plus.

Required Qualifications:-Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.-Strong understanding of machine learning algorithms and principles.-Experience with programming languages such as Python, R, or similar.-Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).-Ability to work with large datasets and knowledge of data preprocessing techniques.-Solid understanding of statistics and mathematics as it relates to machine learning.-Strong analytical and problem-solving skills.-Good communication skills and the ability to work in a collaborative environment.-Experience with cloud platforms (AWS, GCP, Azure) and version control systems (e.g., Git) is a plus.