Senior AI Engineer
Tasks
- Apply transfer learning
- Build data preprocessing workflows
- Build document intelligence solutions
- Build feature engineering pipelines
- Design machine learning models for classification and regression
- Design machine learning models for clustering and forecasting
- Detect anomalies using machine learning
- Develop and evaluate machine learning models
- Fine-tune large language models
- Implement natural language processing solutions
- Implement retrieval-augmented generation
- Monitor model performance
- Optimize model training and inference
- Perform exploratory data analysis
- Perform prompt engineering
- Research emerging AI technologies
- Support model deployment
- Translate business problems into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Airflow | Azure | Computer Vision | DPO | Deep learning | Distributed Computing | Docker | Document AI | Embeddings | GDPR | Git | HIPAA compliance | Hugging Face | Hugging Face Transformers | Jupyter Notebooks | KTO | Language Models | Language Processing | Large Language Models | Linux | MLOps | Machine Learning | Model Deployment | NLP | NLTK | Natural Language | Natural Language Processing | Neural Networks | NoSQL | NumPy | OCR | PPO | Pandas | Prompt engineering | PyTorch | Python | RLHF | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Scalable infrastructure | Scikit-learn | Semantic Search | Spacy | TensorFlow | Transfer Learning | Transformers | Vector Databases
Education
N/A
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