| Gen AI architect at Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Varsha Tarange, iTech US, Inc. [email protected] Reply to: [email protected] Hi , We Have an urgent Opening with one of our clients, please see the job description below for your review. Gen AI architect Location: Remote Contractors: YES Years of experience- 10+ JD: whether you have implemented a chat bot. gen AI framework design architecture. Implement the solution on client eco system. Scenario Based questions Lang chain vector database. RAG , chroma DB, Lang chain. Job Description: Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Qualifications: Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C/C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment Thanks & Regards Varsha Tarange iTech US, Inc. Keywords: cprogramm cplusplus artificial intelligence machine learning user interface user experience database Gen AI architect at Remote [email protected] |
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| Tue Sep 03 22:14:00 UTC 2024 |