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.
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 distr...
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.