Principal Full Stack AIML Engineer
Tasks
- Collaborate with cross-functional teams
- Deliver production-ready code
- Deploy, monitor, and improve ML models
- Design machine learning models and agentic systems
- Develop data pipelines for model training and deployment
- Implement infrastructure-as-code
- Lead end-to-end ML lifecycle
- Maintain code quality, testing, and documentation
- Mentor team members
- Translate prototypes into scalable production systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | Amazon CloudWatch | Amazon EKS | Amazon S3 | CI/CD | Data Processing | Data Visualization | Deep learning | Dependency Injection | Docker | Error Handling | FastAPI | GitHub Actions | Graph Databases | IAM | Kubernetes | LLM | Language Models | Large Language Models | Logging | Machine Learning | Mock | NumPy | Optuna | Pandas | Performance Testing | PyTorch | Pytest | Python | REST API | Real Time | Real-time Data | Real-time Data Processing | SQL | SciPy | Scikit-learn | Streaming | TensorFlow | TypeScript | Unit Testing | Unittest
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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