AI Engineer
Tasks
- Build and evaluate models for business use cases
- Build generative AI applications
- Build machine learning models for prototype testing
- Develop NLP engines and recommendation systems
- Develop data pipelines for model training and inference
- Ensure model reliability scalability and performance in production
- Experiment with new AI techniques and evaluate emerging tech
- Integrate trained AI models into web and mobile platforms
- Prepare clean and augment datasets
Perks/Benefits
Skills/Tech-stack
.NET | API Development | Algorithms | Data Augmentation | Data Structures | Data cleaning | Data pipeline | Generative AI | Language Processing | Machine Learning | Model Deployment | NLP | Natural Language | Natural Language Processing | PyTorch | Python | Scikit-learn | System design | TensorFlow
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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