AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build and deploy machine learning models
- Conduct technical workshops and demos
- Create production ML pipelines
- Design end-to-end AI solutions
- Develop agent-based AI systems
- Develop backend services and APIs
- Implement GenAI features
- Integrate AI models with data sources
- Monitor deployed models
- Perform data preparation and feature engineering
- Support customer AI solution implementation
- Train, evaluate, and deploy models
Perks/Benefits
Skills/Tech-stack
API Development | Agentic Systems | Backend Development | CI/CD | Cloud Fundamentals | Debugging | Deep learning | Feature Engineering | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Interpretation | Model Training | Predictive Modeling | Prompt engineering | Python | Retrieval-Augmented Generation | Testing | Version control
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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