Senior ML/AI Engineer
Tasks
- Architect multi-agent systems
- Build high-volume data pipelines
- Build secure scalable systems
- Collaborate with cross-functional teams
- Communicate effectively
- Design deploy LLM-powered applications
- Develop vector storage and indexing systems
- Implement automated evaluation pipelines
- Integrate AI APIs
- Use LangChain ecosystem for prompt management and agent orchestration
Perks/Benefits
- Flexible culture
- Global opportunities
- High-impact environment
- Professional development
- Total rewards
- Vibrant community
Skills/Tech-stack
API Integration | AWS | Agent systems | Automation | Cloud | Data Engineering | Data Pipelines | Docker | GCP | Git | Indexing | LLM | Langchain | ML | Multi-Agent | Multi-Agent Systems | NLP | Python | Scalability | Secure Systems | Vector storage
Education
Bachelor's | Data Science | Engineering | Master's in Computer Science | STEM
Roles
AI Engineer | Engineer | ML & AI Engineer | Senior ML/AI Engineer
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