Senior AI Engineer (Data Engineer) - Hybrid in Raleigh - NC at Raleigh, North Carolina, USA |
Email: [email protected] |
From: Nora West, W3Global [email protected] Reply to: [email protected] Hello, Greetings from W3Global Inc!! I am not sure if you are looking for a new opportunity, but when I came across your resume, I felt that you might be the right fit for this new opportunity. Here is the job description. Job Title : Senior AI Engineer (Data Engineer) Employment Type : Contract Location : Raleigh - NC - Hybrid Senior AI Engineer (Data Engineer) 2 positions At LexisNexis we develop the legal professions most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about legal matters, contracts and legal spend management. We are looking for a skilled LLM Application Developer to join our team. You will be responsible for implementing large language model (LLM) based applications, working with proprietary and open-source models as well as popular frameworks such as LangChain or LlamaIndex to ensure seamless integration and deployment. RESPONSIBILITIES Develop and implement LLM-based applications. Fine-tune and deploy large language models. Implement production quality ETL jobs Build RAG-based applications Integrate models with existing systems and APIs. Preprocess and manage data for training and deployment. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Document development processes, code, and APIs. REQUIREMENTS Proven experience with large language models and open-source frameworks. Experience leveraging models from repositories such as Hugging Face Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers. Strong knowledge of API integration (RESTful, GraphQL). Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB etc.) Experience with GPU programming, including CUDA or RAPIDs Familiarity with deployment tools (Docker, Kubernetes). Excellent problem-solving and communication skills. Ability to work collaboratively in an agile team environment. PREFERRED QUALIFICATIONS - Degree in Computer Science, Data Science, or related field. - Certifications in machine learning, data science, or cloud computing. - Portfolio showcasing past projects or contributions to open-source projects. Keywords: artificial intelligence access management North Carolina Senior AI Engineer (Data Engineer) - Hybrid in Raleigh - NC [email protected] |
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Wed Jul 03 21:38:00 UTC 2024 |