M09 - Full Stack Engineer
Tasks
- Assess technical feasibility for AI initiatives
- Contribute to technical design and architecture reviews
- Deploy AI systems to cloud or on prem environments
- Design scalable secure full stack applications
- Develop AI and machine learning solutions
- Estimate resources and identify AI risks
- Evaluate new algorithms and frameworks
- Gather requirements document feedback support rollouts
- Identify bottlenecks and improve efficiency
- Monitor optimize deployed AI performance
- Own features from conception to deployment
- Train models and support training programs
- Write maintainable, tested code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Data Anomaly | Data Anomaly Detection | Data Imputation | Data Quality | Data cleaning | Docker | Embeddings | Kubernetes | Language Processing | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Similarity Search | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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