AI/ML Engineer

ADN Group is 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 and a proven track record of deploying production-grade LLM applications, responsible for architecting scalable AI systems and ensuring enterprise-grade security and reliability.

Responsibilities:

• 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

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Minimum of 5 years in an ML-focused role, with at least 1-2 years dedicated to Generative AI and LLM deployment
• Gemini Enterprise (Critical)
• Deep experience with Vertex AI Studio, Model Garden, and Vertex AI Search/Conversation
• Proficiency in leveraging Gemini's multimodal capabilities (Text, Image, Video, Audio) and long-context windows (up to 2M tokens)
• Expertise in Function Calling and Extensions within the Gemini framework to connect LLMs to external APIs and databases
• Core AI/ML Skills
• Programming: Expert-level Python
• Deep Learning
• NLP & LLMs
• Vector Databases
• Google Cloud Professional ML Engineer certification is a significant plus