AI / Machine Learning Engineer
Tasks
- Analyze prediction errors
- Build decision rules and classification criteria
- Create structured prompts for LLM applications
- Design and develop data augmentation solutions
- Design prompt engineering strategies
- Evaluate deep learning models using performance metrics
- Generate synthetic data with LLMs
- Handle imbalanced classes
- Perform text classification in Spanish and multilingual settings
- Prepare and structure multimodal datasets
- Run evaluate and analyze machine learning experiments
- Train fine tune and validate NLP models
Perks/Benefits
- Childcare ticket
- Flexible compensation plan
- Gympass
- Hybrid work
- Indefinite contract
- Meal ticket
- Medical insurance
- Training programs
- Transport ticket
Skills/Tech-stack
Cloud platform | Computer Vision | Data Augmentation | Data Generation | Deep learning | Fine Tuning | GCP | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Imbalanced Data | JupyterLab | LLM Prompt | LLM Prompt Engineering | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multimodal Data | NLP Text Classification | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Synthetic Data Generation | Synthetic data | Text Classification | Vision Language Models | Vision-language | YOLO
Education
N/A
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