AI/ML Implementation Engineer (m/f/d)
Tasks
- Analyze AI adoption maturity
- Build LLM based quality tools using prompt engineering
- Collaborate with data engineers data scientists and ML engineers
- Define data requirements and solution architecture
- Define homologation approach for scalable AI deployment
- Deliver preventive quality AI ML quick wins
- Design develop and deploy production AI and ML applications
- Develop Quality Suite 5.0 AI adoption roadmap
- Document solution designs model performance and data definitions
- Ensure AI solutions are robust secure scalable and production ready
- Gather quality data needs and iterate solutions
- Lead cross functional projects without formal authority
- Propose responsible AI improvements for quality solutions
Perks/Benefits
- 12 paid holidays
- Disability benefits
- Employee assistance program
- Life insurance
- Medical, dental & vision coverage
- Paid parental leave
- Permissive time off
- Relocation assistance
- Remote work
- Tuition assistance
Skills/Tech-stack
8D | APQP | AWS | AWS Lambda | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Bias Mitigation | Chain-of-Thought | Data Modeling | Data models | Deployment | Experiment tracking | FMEA | Familiarity with SAP | Familiarity with Salesforce | FastAPI | Few-Shot Learning | Few-shot | Git | Language Models | Large Language Models | MLOps | Model Validation | Model versioning | Prompt engineering | Python | Quality management | Responsible AI | Security | Semantic data | Semantic data models | Zero-Shot | Zero-shot Learning
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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