Senior AI Engineer
Jobs for Humanity · Tennessee
📍 Coimbatore, TN, invia smartrecruitersPosted 2025-07-16
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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.
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