AI Scientist
Tasks
- Build AI ML solutions in B2B payment flows
- Build reusable extensible AI architectures
- Deploy and monitor production ML systems
- Design safe rollouts fallbacks and guardrails
- Develop data pipelines feature engineering and modeling
- Embed AI into customer and internal workflows
- Evaluate models and define success metrics
- Operate models in mission critical environments
- Own ML lifecycle end-to-end
- Perform model monitoring drift detection and retraining
- Run offline and online experiments and A B testing
- Shape AI technical direction and standards
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Pipelines | Data Quality | Drift Detection | Experimentation | Feature Engineering | LLM orchestration | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | PyTorch | Python | Real Time | Real-time Pipelines | Reliability Engineering | Retraining | Retrieval-Augmented Generation | Scikit-learn | Statistical modeling | TensorFlow | Vector Databases | Workflow Orchestration
Education
Roles
AI | AI Scientist | Scientist
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