Machine Learning Engineer
Buenos Aires,Argentina
R
USD 110K-110K (estimate) Mid-level Full Time
Tasks
- Apply prompt learning
- Build agentic workflows
- Build continuous training and evaluation data flows
- Create evaluation pipelines
- Define components and contracts
- Deploy computer vision and NLP models
- Design low-latency inference solutions
- Develop data pipelines for training and fine tuning
- Implement context engineering
- Implement spec driven development
- Iterate models using data driven feedback
- Manage LLM and VLM lifecycle
- Measure impact of model and prompt changes
- Mitigate regressions and hallucinations
Perks/Benefits
Skills/Tech-stack
BigQuery | CI/CD | Clean architecture | Cloud SDK | Computer Vision | Context engineering | Fine Tuning | Google Cloud | Google Cloud SDK | Huggingface | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Llama.cpp | Machine Learning | Natural Language | Natural Language Processing | ONNX | Prompt Learning | PyTorch | Python | QLoRA | RAG | Ragas | SQL | Testing | VLLM | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
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