Ingeniero de Machine Learning / IA
Ciudad de México, Mexico
MXN 341K-341K (estimate) Mid-level Full Time
Tasks
- Build applications with language models
- Collaborate with cross-functional teams to build scalable AI solutions
- Deploy solutions using Docker and perform basic model monitoring
- Develop train and evaluate machine learning models for classification regression and data analysis
- Implement RAG architectures and develop AI agents
- Implement embeddings and semantic search with vector databases
- Integrate machine learning models and LLM based solutions into backend APIs
- Preprocess clean and perform exploratory data analysis
Perks/Benefits
Skills/Tech-stack
APIs | ChromaDB | Data Analysis | Django | Docker | Embeddings | FastAPI | Flask | LLM | Language Models | Large Language Models | Machine Learning | PGVector | Pandas | Pinecone | PostgreSQL | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQLite | Scikit-learn | Semantic Search | Statistics | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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