AIML Engineer
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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:
Bachelors or Masters 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 Geminis 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
NS IT Solutions
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:
Bachelors or Masters 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 Geminis 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
NS IT Solutions
Required Skills:
AIML
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
