Role overview
*Role: AI/ML Engineer with Gemini Enterprise
Location: 100% Remote
Duration: 12+ Months
NOTE: Candidate must be very strong with Gemini Enterprise and should have end to end experience.
Job Summary:**
We are seeking a high-caliber Senior AI/ML Engineer to lead the development and integration of advanced Generative AI solutions. The ideal candidate must possess expert-level proficiency in the Gemini Enterprise ecosystem (Vertex AI) and a proven track record of deploying production-grade LLM applications. You will be responsible for architecting scalable AI systems, optimizing model performance, and ensuring enterprise-grade security and reliability.
What you'll work on
Gemini Implementation: Design and deploy end-to-end solutions using Gemini within the Google Cloud Vertex AI environment.
RAG Architecture: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources and vector databases.
Model Tuning: Perform supervised fine-tuning and utilize advanced prompt engineering techniques to align Gemini models with specific business logic.
Performance Optimization: Monitor, evaluate, and iterate on model latency, throughput, and accuracy.
Security & Compliance: Implement enterprise-grade safety filters, grounding techniques, and data privacy protocols inherent to Gemini Enterprise.
What we're looking for
Programming: Expert-level Python.
Deep Learning
NLP & LLMs
Vector Databases
*Vishal (Victor) Verma | Assistant Manager
NS IT Solutions