Gen AI Engineer

Role : Gen AI Engineer with Google Cloud Platform

Location : Charlotte, NC; Iselin, NJ

10 to 15 years of experiance mandatory

• Design and build end-to-end AI/ML systems and applications, from experimentation and data preprocessing to production deployment.
• Implement and optimize Generative AI models (text, image, multimodal) and integrate capabilities like Retrieval-Augmented Generation (RAG) and prompt engineering strategies to enhance LLMs with external knowledge sources.
• Leverage a wide range of Google Cloud Platform services, including Vertex AI, Big Query, Cloud Run, GKE (Google Kubernetes Engine), Dataflow, and Pub/Sub, to build, train, and deploy custom AI models and solutions.
• Manage the entire model lifecycle, including training, evaluation, fine-tuning, versioning, deployment, and monitoring performance in production environments.
• Optimize models and systems for improved performance, scalability, efficiency, and cost, implementing techniques like model quantization and GPU memory optimization.
• Build and maintain scalable and reliable ML pipelines using MLOps practices, employing tools like Docker and Kubernetes for containerization and CI/CD pipelines for automated deployment.
• Document technical designs, processes, and best practices, and potentially mentor junior team members