Distinguished Machine Learning Engineer
USD 210K-350K Senior-level Full Time
Tasks
- Build workflow orchestration components
- Create semantic and knowledge graph systems
- Define AI platform architecture
- Define reference architecture and best practices
- Design search and retrieval systems
- Develop GenAI workflow systems
- Drive production readiness for GenAI systems
- Establish GenAI technical strategy
- Establish platform reliability and observability standards
- Evaluate core technologies
- Implement prompt and context management
- Lead technical reviews and assessments
- Mentor engineers on architecture and quality
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Agentic Workflows | Airflow | Azure | CI/CD | Cloud Architecture | Elasticsearch | Embeddings | Generative AI | Kafka | Knowledge graph | Kubernetes | LLM | LLM orchestration | Langchain | Language Processing | Llamaindex | Machine Learning | Milvus | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | OpenTelemetry | Pinecone | Prefect | Prompt engineering | Qdrant | Ray | Retrieval-Augmented Generation | Search and Retrieval | Snowflake | Spark | Temporal | Tracing | Vector Databases | Weaviate
Education
Regions
Countries
States
Cities
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