AI Engineer
Tasks
- Build multi-agent workflows
- Build production ready AI applications
- Conduct model experiments and evaluations
- Develop data processing and model deployment pipelines
- Ensure model compliance with banking regulations and privacy standards
- Implement updates for deployed models
- Monitor deployed solutions and troubleshoot issues
- Participate in code reviews and CI/CD processes
- Stay current on NLP and LLM trends
- Train fine tune and optimize neural network models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | Bias Mitigation | CI/CD | Docker | Entity recognition | Git | Google Cloud | Graph Databases | Hadoop | 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 | Spark | Supervised Learning | TensorFlow | Text Classification | Unsupervised Learning
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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