AI Software Development Engineer
Tasks
- Analyze machine learning reference solutions
- Architect AI and ML solutions
- Benchmark models on cloud environments
- Build and fine-tune machine learning models
- Create and deploy early proof of concepts
- Deploy machine learning models on hardware systems
- Develop demonstration application software
- Develop roadmap of AI solutions
- Develop scalable production ready AI ML systems
- Integrate emerging AI trends into solution roadmap
- Publish open source repositories and collaborate
- Serve machine learning applications in production runtime
Perks/Benefits
Skills/Tech-stack
ASR | AWS | Agentic AI | C# | C++ | CICD | Cloud Computing | Cloud platform | Deep learning | Fine Tuning | Generative AI | GitHub | Google Cloud | Google Cloud Platform | Hardware acceleration | Image Generation | Jupyter | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Deployment | Model Fine-tuning | Multimodal | Open Source | Python | Retrieval-Augmented Generation | TTS
Education
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