Domain Architect- AI/ML, Senior Specialist
Tasks
- Apply machine learning algorithms
- Assess AI and ML requirements
- Conduct A/B testing
- Deploy AI systems on cloud
- Design AI and ML architecture
- Develop AI models for NLP and computer vision
- Document architecture specifications
- Implement continuous experimentation
- Improve algorithm scalability and performance
- Optimize machine learning models
- Perform statistical analysis for business improvements
- Pilot AI models
- Plan scalable secure AI deployments
- Resolve AI solution deployment issues
- Review code and optimize models
- Train and evaluate models on large datasets
- Validate business problems for AI solutions
Perks/Benefits
- Financial wellness programs
- Hybrid work model
- Personal wellness resources
- Physical wellness benefits
- Wellness support
Skills/Tech-stack
A/B | A/B Testing | AWS | Agent systems | Agentic architecture | Artificial Intelligence | Azure | B testing | Cloud platform | Computer Vision | Data Integrity | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Learning architecture | Machine Learning | Machine learning architecture | Model Evaluation | Model Robustness | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Regression | Regression Models | Scikit-learn | Statistical modeling | TensorFlow
Education
Roles
AI | AI Architect | Architect | Domain Architect | Engineer | Learning Engineer | Machine Learning Engineer
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