Principal Machine Learning Engineer
Tasks
- Build production machine learning pipelines
- Collaborate with software engineers and product managers
- Conduct model evaluation and feedback loops
- Deploy machine learning models
- Design core machine learning systems
- Develop RAG pipelines
- Ensure solutions scalability and observability
- Implement LLM powered agent frameworks
- Lead mentoring and development lifecycle
- Monitor production model performance
- Orchestrate agent workflows
Perks/Benefits
Skills/Tech-stack
AWS | Cloud Computing | Deep learning | Evaluation | GCP | Graph Neural Networks | LLM orchestration | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | PyTorch | RAG | Supervised Learning | TensorFlow | Unsupervised Learning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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