Software Engineer (Machine Learning & Multimodal AI)
Tasks
- Build AI infrastructure and deployment systems
- Conduct code reviews and establish development standards
- Create testing methodologies for model evaluation
- Design and implement multimodal foundation models
- Develop machine learning prototypes
- Integrate models with frontend interfaces and visualization tools
- Lead model development benchmarking evaluation and optimization
- Lead prototype demonstrations for diverse audiences
- Perform model comparison and validation
- Translate technical concepts for technical and non technical stakeholders
- Use version control for collaborative development
Perks/Benefits
Skills/Tech-stack
Deep learning | Git | GitHub | GitLab | Machine Learning | Model Benchmarking | Model Evaluation | Model Validation | Multimodal AI | PyTorch | Python | Software Engineering | Testing Methodologies | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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