Machine Learning Engineer
Tasks
- Build LLM powered agent frameworks
- Deploy machine learning models to production
- Design production machine learning systems
- Develop model evaluation and feedback loops
- Implement rag pipelines
- Improve scalability and reliability of AI systems
- Monitor model performance
- Orchestrate agent workflows
- Partner with engineers and data scientists to integrate agents into platform
Perks/Benefits
Skills/Tech-stack
AWS | Cloud Computing | Deep learning | Evaluation | GCP | Google Cloud | Graph Neural Networks | Huggingface | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | RAG | Retrieval-Augmented Generation | Statistical Analysis | TensorFlow | Text Generation | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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