AI Engineer (Manager level)
Tasks
- Apply Agile development
- Apply DevOps practices
- Collaborate on application architecture
- Design application documentation
- Develop NLP applications
- Develop Python on premises and cloud applications
- Ensure application maintainability and scalability
- Execute data science use cases
- Identify emerging technologies
- Implement cloud-based applications
- Improve NLU models
- Monitor NLU model performance
- Recommend software development methodologies
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Apache Spark | Azure AI | Azure AI Services | Azure CI | Azure CI/CD | Azure OpenAI | Azure Queue | Azure Queue Storage | CI/CD | Cognitive Search | Databricks | Deep learning | Document Intelligence | Language Models | Language Processing | Large Language Models | Load Testing | Machine Learning | Multithreading | Natural Language | Natural Language Processing | Python | Queue Storage | Vector Search
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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