Senior AI Engineer
Tasks
- Build and deploy ML models
- Contribute to solution architecture decisions
- Design end-to-end AI/ML solutions
- Develop scalable data and ML pipelines
- Implement ML model monitoring and drift detection
- Mentor engineers and conduct code reviews
- Productionize models with MLOps
- Translate business objectives into ML problem statements
Perks/Benefits
Skills/Tech-stack
CI/CD | Data Engineering | Data Modeling | Data Pipelines | Data Quality | Data Stores | Deep learning | Drift Detection | Embeddings | GenAI | Governance | LLM | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | NLP | NLP Use Cases | Observability | Orchestration | Prompt engineering | PyTorch | Python | RAG | Retraining | SQL | Scikit-learn | Security | Statistics | TensorFlow | Use cases
Education
Roles
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