Machine Learning Engineer - IT
Tasks
- Apply prompt learning and continuous iteration
- Build LLM VLM lifecycle pipelines
- Create reproducible eval pipelines
- Define spec driven development components and contracts
- Deploy computer vision and NLP models
- Design low-latency inference systems
- Develop data pipelines for training fine tuning and evaluation
- Implement agentic workflows for multimedia reasoning
- Measure model prompt and flow impact
- Mitigate regression and hallucinations
- Optimize throughput and resource usage
Perks/Benefits
Skills/Tech-stack
BigQuery | CI/CD | Clean architecture | Cloud SDK | Computer Vision | Context engineering | Evals | Fine Tuning | Google Cloud | Google Cloud SDK | Huggingface | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Llamacpp | Natural Language | Natural Language Processing | ONNX | Prompt Learning | Prompt iteration | PyTorch | Python | QLoRA | RAG | Ragas | SQL | Testing | VLLM | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
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