Technical Product Owner - Lead AI Engineer
Tasks
- Build data pipelines
- Collaborate on AI platform architecture
- Define AI product roadmap
- Define OKRs and KPIs
- Deploy machine learning models
- Design machine learning solutions
- Develop generative AI solutions
- Drive AI solution adoption
- Ensure AI governance and compliance
- Facilitate delivery governance
- Identify AI use cases
- Implement MLOps practices
- Integrate structured and unstructured data
- Lead Agile sprint planning
- Manage model experimentation and training
- Manage stakeholder alignment
- Monitor business value and operational effectiveness
- Prioritize AI product backlog
- Remove delivery obstacles
- Run backlog refinement and retrospectives
- Translate requirements into user stories
- Validate and monitor model performance
Perks/Benefits
- Bereavement leave
- Caregiver leave
- Health insurance
- Parental leave
- Recognition awards
- Service anniversary awards
- Vacation days
- Volunteer leave
- Well-being reimbursement
Skills/Tech-stack
AI Agents | AWS | Agile | Azure | CI/CD | Cloud platform | Data Lakes | Data Pipelines | Data Warehousing | ELT | ETL | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Machine Learning | Operational Monitoring | Privacy Compliance | RAG | Responsible AI | Scrum | Secure Development | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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