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Senior AI Engineer

Coimbatore, TN, IN · On-site · Full-time

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About the role

NLPMachine LearningDeep LearningComputer VisionLLMsRAGPythonJavaRAWSGCPAzurePyTorchTensorFlowCommunication
Greetings from Saira Jobs! We are currently recruiting for a 'Senior AI Engineer' on behalf of our partner. Explore the opportunity below and apply today if you meet the qualifications! 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.