Hi,
Hope you're doing well.
My name is Mayank, and I am a Technical Recruiter from Empower Professionals Inc. We are sourcing for a "AI/ML Engineer with Gemini Enterprise" role and it's a long-term contract with possible extensions.
If you have any suitable profiles, please share their updated resumes with the candidate's location, work authorization and expected rate so that we can proceed.
Role: AI/ML Engineer with Gemini Enterprise
Location: Remote
Duration: 12+ Months
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.
1. 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.
2. Core AI/ML Skills
- Programming: Expert-level Python.
- Deep Learning
- NLP & LLMs
- Vector Databases
In compliance with the salary transparency law, the expected pay range for this role is $60 - 70/hr. Actual compensation depends on experience and interview evaluation.
Thanks
Mayank Verma
Senior Technical Recruiter | Empower Professionals
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mayank@empowerprofessionals.com | LinkedIn: https://www.linkedin.com/in/mayankdverma/
Fax: 732-356-8009 | 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
Certified NJ and NY Minority Business Enterprise (NMSDC)
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