Principal Engineer, Machine Learning
Tasks
- Apply prompt engineering and Retrieval-Augmented Generation
- Architect AI and machine learning systems
- Build AI agents and multi-agent systems
- Create architecture documentation and designs
- Develop and deploy generative AI solutions
- Develop end-to-end AI/ML solutions
- Ensure scalability security reliability performance
- Implement responsible AI practices
- Lead AI/ML architecture decisions
- Perform root cause analysis and mentor developers
Perks/Benefits
- Career growth
- Continuous learning
- Enterprise scale AI leadership
- Global cross functional work environment
- Professional development
- Technical ownership
Skills/Tech-stack
Computer Vision | Docker | Docker Swarm | Generative AI | JAX | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Neural Networks | NumPy | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical Analysis | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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