AI & Analytics Engineer
Tasks
- Build production AI solutions
- Build self-service analytics
- Collaborate with business teams on requirements
- Communicate analytical outputs to non technical audiences
- Create prompt libraries documentation and training for AI adoption
- Define data foundation from source systems to analytics and AI layers
- Evaluate external AI and data products
- Implement evaluation and observability for AI in production
- Translate business questions into KPIs and analytics
- Work with stakeholders across departments to understand problems
Perks/Benefits
- Catered lunch
- Dental insurance
- Health insurance
- Healthy breakfast
- Life insurance
- Ongoing development opportunities
- Snacks and beverages
- Team bonding events
- Vision insurance
Skills/Tech-stack
Agile | Anthropic API | Data Governance | Data Modeling | Data Quality | Data Warehousing | Google API | LLM Evaluation | LLMOps | Language Models | Large Language Models | Observability | OpenAI API | Power BI | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Analytics | Analytics Engineer | Data Engineer | Engineer
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