Senior AI Engineer - AI Platform & ML Engineering
Tasks
- Build reusable AL and ML engineering patterns
- Create deployment and monitoring standards
- Embed responsible AI governance and access controls
- Establish MLOps and LLMOps practices
- Integrate and deploy ML and GenAI through APIs
- Monitor AI cost performance reliability and risk
- Partner to define feature engineering and pipeline patterns
- Version track and govern models prompts and agents
Perks/Benefits
- Dental insurance
- Education assistance
- Fitness benefit
- Generous vacation time
- Health insurance
- Learning and development
- Parental leave top-up
- Retirement plan matching
- Social events
Skills/Tech-stack
API Integration | AWS | Access Control | Artificial Intelligence | Auditability | Azure | CI/CD | Data Governance | Databricks | Feature Engineering | LLMOps | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Serving | Observability | Prompt engineering | Python | Secure Serving
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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