EventzR Visitor Portal

Help us build the brain of EventzR. You will work on fine-tuning LLMs, building RAG pipelines, and developing our proprietary EventML models for recommendation and content generation.

Responsibilities

Develop and deploy RAG pipelines for contextual event recommendations.
Fine-tune open-source LLMs (Llama, Mistral) for specific event domains.
Optimize AI model inference for latency and cost.
Build agents for our Cypher Co-Pilot using LangChain or similar frameworks.
Collaborate with the platform team to integrate AI features via APIs.

Qualifications

3+ years of experience in Machine Learning and NLP.
Experience with LLMs, vector databases (Pinecone, Weaviate), and RAG architectures.
Proficiency in Python and PyTorch/TensorFlow.
Familiarity with cloud-based AI deployment (AWS SageMaker, Bedrock).
Strong understanding of data structures and algorithms.

Help us build the brain of EventzR. You will work on fine-tuning LLMs, building RAG pipelines, and developing our proprietary EventML models for recommendation and content generation.

Responsibilities

Develop and deploy RAG pipelines for contextual event recommendations.
Fine-tune open-source LLMs (Llama, Mistral) for specific event domains.
Optimize AI model inference for latency and cost.
Build agents for our Cypher Co-Pilot using LangChain or similar frameworks.
Collaborate with the platform team to integrate AI features via APIs.

Qualifications

3+ years of experience in Machine Learning and NLP.
Experience with LLMs, vector databases (Pinecone, Weaviate), and RAG architectures.
Proficiency in Python and PyTorch/TensorFlow.
Familiarity with cloud-based AI deployment (AWS SageMaker, Bedrock).
Strong understanding of data structures and algorithms.

AI/ML Engineer (LLM & RAG)

Responsibilities

Qualifications

Apply for AI/ML Engineer (LLM & RAG)

Role Overview

AI/ML Engineer (LLM & RAG)

Responsibilities

Qualifications

Apply for AI/ML Engineer (LLM & RAG)

Role Overview