Machine Learning Architect
Sunnyvale, CA - USA
Job Summary
Must be able to work on W2
Job Title: Machine Learning Architect Search & Recommendation Systems
Location: Bay Area CA (Hybrid)
Requirement:
We are looking for a highly skilled Machine Learning Architect with strong expertise in Search & Recommendation Systems and large-scale distributed infrastructure. The ideal candidate should have hands-on experience building scalable ML platforms real-time data pipelines and AI/LLM-driven solutions using Java Python and cloud technologies.
Required Skills:
- Java Python NodeJS
- LLM & Agentic AI systems
- Search & Recommendation Systems
- GCP Azure Kubernetes (K8S/WCNP)
- Spring Boot
- GCP Pub/Sub
- Avro / Protobuf schemas
- Real-time ingestion & feature serving pipelines
- Clickstream / behavioral signal pipelines
- Session modeling & query routing
- NLP pipeline integration
- Large-scale scalable infrastructure design
Responsibilities:
- Design and architect scalable ML infrastructure and recommendation platforms
- Build near real-time data ingestion and feature engineering pipelines
- Develop AI/LLM-enabled intelligent systems and NLP integrations
- Optimize query routing session modeling and feature serving frameworks
- Collaborate with engineering teams to deliver high-performance distributed solutions.