Solutions Engineer – Artificial Intelligence
Tasks
- Advocate customer needs to product and engineering
- Assist domain experts with AI solution development
- Curate data and algorithms for objectives
- Deliver technical presentations and demonstrations
- Design AI solutions using Cloudera technologies
- Develop AI solutions for customer adoption
- Drive technical sales lifecycle from discovery to renewal
- Evaluate models for production deployment
- Lead community outreach via conferences webinars and blogs
- Present product roadmap to executives
- Setup training pipelines
Perks/Benefits
- Career development
- Employee resource groups
- Flexible work from home
- Internet reimbursement
- Paid time off
- Phone reimbursement
- Volunteer time
- Wellness programs
Skills/Tech-stack
AWS | Artificial Intelligence | Big Data | Cloud Architecture | Cloud platform | Data Engineering | Data Governance | Data Lakehouse | Data Science | Data Security | Data Warehousing | Google Cloud | Google Cloud Platform | Hybrid Cloud | Linux | Machine Learning | Microsoft Azure | Model Evaluation | Training pipelines | Unix
Education
N/A
Roles
Engineer | Pre Sales | Pre Sales Engineer | Sales Engineer | Solutions Engineer
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