AI Engineer
Tasks
- Build multi-agent workflows
- Conduct experiments and evaluate model performance
- Contribute to NLP and LLM knowledge sharing
- Deploy production ready AI applications
- Develop data processing and model training pipelines
- Ensure compliance with banking regulations and data privacy
- Monitor deployed solutions and implement updates
- Participate in code reviews and agile ceremonies
- Train fine tune and optimize neural network models
- Use CI/CD processes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | Bias Mitigation | CI/CD | Data Privacy | Docker | Entity recognition | Evaluation metrics | Git | Google Cloud | Huggingface | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Named Entity Recognition | Natural Language | Natural Language Processing | PyTorch | Python | Scikit-learn | Supervised Learning | TensorFlow | Text Classification | Unsupervised Learning
Education
N/A
Roles
AI | AI Engineer | Engineer
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