AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build data pipelines for training and inference
- Deploy models using Docker
- Design, train, and deploy machine learning models
- Develop APIs and microservices for AI integration
- Ensure AI security and data governance compliance
- Fine-tune large language models
- Manage model lifecycle with MLOps
- Monitor model performance
- Retrain models to maintain accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Computer Vision | Deep learning | Docker | Fine Tuning | Google Cloud | LLM Fine-tuning | Langchain | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Microservices | Natural Language | Natural Language Processing | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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