Senior AI Engineer

Job Description: Senior AI Engineer(2 to 4 years) Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Required Skills: Programming Proficiency : Strong programming skills in Python or other relevant languages (e.g., R, Java). AI Frameworks : Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras. Machine Learning Algorithms : Practical knowledge of machine learning algorithms like linear regression, decision trees, random forests, and SVM. Deep Learning Concepts : Experience working with deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Data Handling : Expertise in data preprocessing, feature engineering, and model evaluation. Problem-Solving : Strong analytical and problem-solving skills to tackle complex AI problems. Independent and Team Work : Ability to work independently and collaboratively within a team environment. Up-to-date Knowledge : Staying current with the latest AI research, technologies, and best practices to ensure relevant and effective AI solutions. Communication : Excellent verbal communication skills for explaining technical concepts and AI model results clearly. Specialized Skills : Experience in Computer Vision , Deep Learning , Machine Learning , Natural Language Processing (NLP), and Large Language Models (LLMs) . Vector Databases (VectorDB) and Retrieval-Augmented Generation (RAG) models : Practical experience in developing and working with these technologies. Bonus Skills: NLP or Computer Vision : Experience in developing AI models for natural language processing or computer vision applications. Cloud Platforms : Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying AI models.