Senior ML Engineer
Tasks
- Adopt AI tooling
- Build AI agents
- Collaborate with engineering teams
- Conduct code reviews and architecture discussions
- Contribute to architecture decisions
- Design AI pipelines
- Develop scalable AI systems
- Implement DevOps/MLOps practices
- Integrate AI frameworks
- Monitor AI system performance
- Share insights on AI technologies
- Utilize cloud AI services
Perks/Benefits
- Additional time off
- Company breaks
- Flexible work
- Health, dental, vision insurance
- Long-term incentives
- Parental leave
- Training programs
Skills/Tech-stack
API Design | AWS | Azure | C# | Docker | GCP | Go | Java | Kubernetes | Langchain | MLflow | Python | Semantic Kernel | Software Architecture
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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