

ADN Group
AI/ML Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 20, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Austin, TX
-
π§ - 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:
Bachelorβs or Masterβs 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 Geminiβs 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
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:
Bachelorβs or Masterβs 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 Geminiβs 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





