
About G2i Inc.
Connecting companies with top-tier remote developers
Key Highlights
- Headquartered in Delray Beach, Florida
- Specializes in React, React Native, and Node.js
- Serves a diverse range of clients from startups to enterprises
- Vetted remote engineers ensure high-quality development
G2i is a specialized talent marketplace headquartered in Delray Beach, Florida, connecting companies with vetted software developers skilled in web, mobile, and cross-platform technologies, particularly React, React Native, and Node.js. With a focus on remote work, G2i serves clients ranging from st...
🎁 Benefits
G2i offers competitive compensation, flexible remote work options, and a supportive environment for engineers to thrive. Employees enjoy a generous PT...
🌟 Culture
G2i fosters a remote-first culture that emphasizes trust and autonomy, allowing engineers to work from anywhere while focusing on delivering high-qual...
Skills & Technologies
Overview
G2i Inc. is hiring a Machine Learning Engineer to fine-tune and deploy Large Language Models (LLMs). You'll work with Python and frameworks like PyTorch and TensorFlow to enhance user interactions with expert insights. This role requires proven experience in machine learning engineering.
Job Description
Who you are
You have proven experience fine-tuning and deploying Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or LLaMA. Your strong background in machine learning engineering is complemented by your proficiency in Python and frameworks like PyTorch and TensorFlow. You thrive in a fast-moving environment and are comfortable working autonomously, making you an ideal fit for our highly technical and product-focused team.
You possess a solid understanding of retrieval-augmented generation (RAG), prompt tuning, and instruction fine-tuning. Your previous work in content intelligence, research, or knowledge management platforms has equipped you with the skills necessary to design, fine-tune, and deploy LLMs for natural language understanding, text generation, and summarization tasks. You are eager to continuously explore new techniques and optimize existing ML models for performance, cost, and latency.
What you'll do
In this hands-on engineering role, you will design, fine-tune, and deploy LLMs that enhance how users interact with expert insights. You will collaborate closely with our product and data teams to build, refine, and operationalize intelligent systems. Your responsibilities will include optimizing existing ML models and building robust data pipelines for model training and evaluation. You will also integrate AI-driven features into production systems, ensuring seamless functionality and user experience.
You will continuously explore new techniques in prompt engineering and model optimization, contributing to the AI roadmap of a company transforming access to human expertise. Your role will involve working directly with a lean, high-impact team that values product quality and innovation. You will have the opportunity to influence the direction of AI initiatives and make a significant impact on the company's mission.
What we offer
We provide a fully remote and flexible working schedule, allowing you to balance your professional and personal life effectively. You will work directly with a small, highly technical team that is passionate about leveraging AI to scale human expertise. This role offers the chance to be part of a transformative journey in how executives access and apply real-world expertise, making your contributions vital to our success.
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