ADN Group

AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer with expertise in Gemini Enterprise, offering a 12+ month remote contract at a competitive pay rate. Candidates must have 5+ years in ML, 1-2 years in Generative AI, and relevant certifications.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 20, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Austin, TX
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🧠 - Skills detailed
#Data Privacy #Cloud #AI (Artificial Intelligence) #Data Science #Deep Learning #Databases #Computer Science #ML (Machine Learning) #Python #Security #Programming #Compliance #Scala #Deployment #NLP (Natural Language Processing)
Role description
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. 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. Google Cloud Professional ML Engineer certification is a significant plus. 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 Vishal (Victor) Verma | Assistant Manager vishal@nsitsolutions.com NS IT Solutions www.nsitsolutions.com