AI Engineer - Automated Channels Transformation
USD 96K-207K (estimate) Mid-level Full Time
Tasks
- Analyze multi-dimensional data
- Build predictive models
- Communicate findings to non-technical stakeholders
- Create evaluation frameworks
- Design AI and machine learning systems
- Design and execute statistical experiments
- Develop Agentic AI systems
- Develop and deploy machine learning models
- Ensure compliance with banking regulations
- Integrate AI solutions into systems
- Lead cross-team technical initiatives
- Mentor and review lower level professionals
- Research and apply generative AI models
- Translate business questions into analytical problems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Agile | Amazon Bedrock | Amazon Lex | Amazon SageMaker | CI/CD | Data Visualization | Deep learning | Docker | Fine Tuning | Generative AI | Git | GitHub | Hugging Face | Infrastructure as Code | JavaScript | Knowledge Distillation | Langchain | Llamaindex | Machine Learning | Model Evaluation | Neural Networks | Observability | Prompt engineering | PyTorch | Python | Quantization | Retrieval-Augmented Generation | SQL | Scikit-learn | Terraform | Tool integration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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