AI Team Lead
Tasks
- Adapt foundation models
- Apply prompt engineering
- Apply transfer learning
- Build document intelligence solutions
- Conduct model experimentation
- Deploy machine learning models
- Deploy models to cloud
- Design LLM architectures
- Develop deep learning models
- Develop machine learning models
- Evaluate models with metrics
- Fine-tune large language models
- Implement NLP text classification
- Implement information retrieval
- Implement named entity extraction
- Implement retrieval-augmented generation
- Implement text summarization
- Monitor model performance
- Optimize feature engineering pipelines
- Optimize model performance
- Package models with Docker
- Perform exploratory data analysis
- Preprocess structured data
- Preprocess unstructured data
- Research emerging AI technologies
- Run cross validation
- Support MLOps workflows
- Train key value extraction models
- Translate business problems into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Airflow | Azure | Computer Vision | Cross Experimentation | Cross-validation | Deep learning | Docker | Document Understanding | Embeddings | Feature Engineering | Git | Hugging Face | Hugging Face Transformers | Jupyter Notebook | Language Models | Language Processing | Large Language Models | Linux | MLOps | Machine Learning | NLTK | Natural Language | Natural Language Processing | Neural Networks | NoSQL | NumPy | OCR | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Spacy | TensorFlow | Transfer Learning | Transformer Models | Vector Databases
Education
N/A
Roles
AI | AI Team Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Team Lead
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