AI/ML Engineer - Live Story
Tasks
- Build MLOps infrastructure for prompt management
- Deploy machine learning pipelines
- Design and implement generative AI features
- Develop classical machine learning models
- Monitor model performance in production
- Optimize model costs and latency
- Translate business needs into data science projects
Perks/Benefits
Skills/Tech-stack
Deep learning | Hugging Face | LLM orchestration | Langchain | MLOps | Model Deployment | Model Monitoring | NumPy | Pandas | Prompt management | PyTorch | Python | Scikit-learn | Transformers
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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