AI Integration Lead
Tasks
- Assess whether AI outputs meet infrastructure standards
- Bridge civil transportation engineering domain knowledge with AI implementation
- Collaborate with data teams to improve data integrity
- Develop prompting techniques and model fine tuning strategies
- Enable tool use for large language models
- Evaluate API and model integrations and advise build vs buy
- Implement and manage AI for QA QC processes
- Incorporate AI into products
- Lead AI image recognition and computer vision for asset data extraction
- Prototype AI ideas and evaluate third party tools and models
- Train and evaluate using pretraining RLHF and in context learning
- Validate outputs against domain benchmarks
Perks/Benefits
- 401-k match
- Commuter transportation benefit
- Dental insurance
- Free snacks
- Medical insurance
- On-site gym
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | AWS Lambda | Amazon S3 | Computer Vision | Context learning | Data Quality | Deep learning | Fine Tuning | Geospatial Data | Image Recognition | In-context Learning | Language Models | Large Language Models | Machine Learning | Optimization Algorithms | Prompt engineering | Python | QA/QC | REST API | RLHF | SQL | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
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