| AI Engineer RAG Model & GCP --- Irving-TX (Remote also will work) at Irving, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2268591&uid= Hi , Title : AI Engineer RAG Model & GCP Location : Irving-TX (Remote also will work) Contract Job Summary: We are looking for an experienced AI Engineer with expertise in Retrieval-Augmented Generation (RAG) models, Gemini AI, and vector databases. The ideal candidate should have a strong understanding of AI workflows, proficiency in Google Cloud Platform (GCP) services like BigQuery and Airflow, and a keen eye for cost optimization and innovation. Key Responsibilities: Design, develop, and optimize RAG models using Gemini AI and other LLM frameworks. Implement and manage vector databases to enhance AI-driven retrieval efficiency. Develop AI/ML solutions leveraging Python, TensorFlow, and other deep learning frameworks. Ensure seamless integration of AI solutions with GCP services like BigQuery, Airflow, and cloud-based tools. Drive cost optimization strategies for AI workloads on GCP. Research and implement innovative ideas to enhance AI capabilities and automation. Collaborate with cross-functional teams to align AI solutions with business goals. Tech Skills: AI & ML Frameworks: RAG Model, Gemini AI, TensorFlow, PyTorch Programming Languages: Python, SQL Cloud Platforms: Google Cloud Platform (GCP), BigQuery, Vertex AI, AI Platform Databases: Vector Databases (e.g., Pinecone, FAISS, Weaviate), PostgreSQL Infrastructure & DevOps: CI/CD Pipelines, Terraform, Docker, Kubernetes Cost Optimization: Cloud resource optimization strategies, serverless computing Required Skills & Qualifications: Strong expertise in RAG models and Gemini AI for AI-driven applications. Hands-on experience with vector databases and AI-based retrieval systems. Proficiency in Python, TensorFlow, and other AI/ML frameworks. Solid understanding of machine learning, deep learning, and NLP concepts. Experience working with GCP services, including BigQuery, Airflow, and cloud optimization techniques. Ability to design and deploy cost-efficient AI solutions in a cloud environment. Strong problem-solving skills and a passion for innovation in AI and cloud computing. Preferred Qualifications: Experience in LLMs (Large Language Models) and generative AI frameworks. Familiarity with MLOps, CI/CD pipelines, and cloud-based model deployment. Previous experience in optimizing AI workloads on GCP and other cloud platforms. Regards, Nagendar Goud Mula Sr. US IT Recruiter E: [email protected] linkedin.com/in/nagendar-goud-38680ba6 | -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Texas AI Engineer RAG Model & GCP --- Irving-TX (Remote also will work) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2268591&uid= |
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| 08:42 PM 19-Mar-25 |