AI Engineer
Tasks
- Build multi-agent workflows
- Conduct experiments and evaluate model performance
- Contribute to NLP and LLM knowledge sharing
- Develop data processing and model pipelines
- Develop production-ready AI applications
- Ensure regulatory compliance and ethical AI
- Implement CI/CD processes
- Monitor AI solutions in production
- Participate in code reviews and agile ceremonies
- Train fine tune and optimize neural network models
- Troubleshoot production issues and implement updates
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Amazon Web Services | Azure | Bias Mitigation | CI/CD | Databases | Docker | Entity recognition | Git | Google Cloud | Graph Databases | Huggingface | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Named Entity Recognition | Natural Language | Natural Language Processing | NoSQL | PyTorch | Python | SQL | Scikit-learn | Supervised Learning | TensorFlow | Text Classification | Unsupervised Learning | Version control | Web Services
Education
N/A
Roles
AI | AI Engineer | Engineer
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