AI Engineer - Automated Channels Transformation
USD 96K-207K (estimate) Mid-level Full Time
Tasks
- Build agentic AI systems
- Build predictive models
- Communicate technical concepts to stakeholders
- Create model documentation
- Define AI reference architectures
- Design and execute experiments
- Design machine learning systems
- Detect model hallucinations
- Develop and deploy AI models
- Develop model evaluation frameworks
- Drive cross team technical initiatives
- Ensure compliance with banking regulations
- Extract insights from structured and unstructured data
- Integrate AI solutions into existing systems
- Mentor engineers
- Research and apply generative AI techniques
- Translate business questions into analytics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agentic AI | Agile | Amazon SageMaker | CI/CD | Data Visualization | Deep learning | Docker | Fine Tuning | Generative AI | Git | Hugging Face | Infrastructure as Code | JavaScript | Knowledge Distillation | Langchain | Llamaindex | Model Evaluation | Neural Networks | Observability | Prompt engineering | PyTorch | Python | Quantization | Retrieval-Augmented Generation | SQL | Scikit-learn | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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