AI Engineer - Automated Channels Transformation
USD 96K-207K (estimate) Mid-level Full Time
Tasks
- Apply predictive modeling and optimization
- Collaborate with cross-functional teams
- Communicate technical concepts to non-technical stakeholders
- Conduct experimental evaluation with clear criteria
- Create evaluation frameworks for model performance
- Create model documentation
- Define reference architectures and model lifecycle gates
- Design and execute statistically valid experiments
- Design and implement AI and machine learning systems
- Detect hallucinations and ensure output quality
- Develop Agentic AI systems
- Ensure AI systems meet regulatory requirements
- Extract patterns and insights from complex data
- Integrate AI solutions into existing systems
- Lead projects with limited supervision and coach professionals
- Mentor engineers to ensure scalability and compliance
- Research test 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 SageMaker | CI/CD | Containerization | Data Analysis | Data Visualization | Deep learning | DevOps | Docker | Experiment design | Fine Tuning | Generative AI | Git | Hugging Face | Infrastructure as Code | JavaScript | Langchain | Llamaindex | Machine Learning | Microsoft Excel | Microsoft PowerPoint | Microsoft Word | Model Distillation | Model Evaluation | Neural Networks | Observability | Prompt engineering | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical Evaluation | Terraform | “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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