5 junior mlops engineer jobs at 4 companies in Wayne, NJ
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Morgan StanleyNYSE: MS: Global financial services firm providing investment and wealth management.
2+ YOE2+ years building GenAI solutions; expertise with agent orchestration frameworks, LLM APIs, vector DBs/RAG, Python (mandatory), FastAPI/Node.js/Go, Docker/Kubernetes, and production MLOps. Strong communication and critical thinking.
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
2+ YOE2+ years building GenAI solutions and agent orchestration; mastery of LangChain, LangGraph, CrewAI, Microsoft AutoGen; expertise with OpenAI/Anthropic/AWS Bedrock, vector DBs (Pinecone, Weaviate), Python, Docker, Kubernetes, and MLOps.
Arize AI: Platform for monitoring and evaluating artificial intelligence models.
2+ YOE2+ years software development experience; comfortable in at least two of Python, Java, and TypeScript; experience with MLOps/GenAI in production, cloud platforms (AWS/GCP/Azure), Docker and Kubernetes; strong communication and project management.