AI Engineer (Commercial Operations)
London, England, United Kingdom
GBP 130K-170K (estimate) Executive-level Full Time
Tasks
- Automate workflows using LLMs and AI agents
- Build AI enhanced analytics for patterns and anomalies
- Build Salesforce custom objects fields and integrations
- Build analytics for leading indicators using machine learning
- Build and deploy production AI solutions
- Communicate technical concepts to non-technical stakeholders
- Create dashboards and recommendations for stakeholders
- Define data models and governance
- Deliver clean commercial analytics data and reporting
- Develop machine learning models for revenue forecasting
- Establish responsible AI practices for bias and explainability
- Evaluate and integrate emerging AI tools
- Integrate CRM data with product telemetry and data warehouses
- Own commercial data ecosystem architecture
- Prototype and ship AI enabled workflows
- Provide technical leadership and advise on AI strategy
- Translate business problems into technical solutions and measure impact
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS QuickSight | Amazon Web Services | BI Dashboards | Data Governance | Data Modeling | Data Quality | Fine Tuning | LLM Agents | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Salesforce | Series analysis | Time Series | Time Series Analysis | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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