| Artificial Intelligence Engineer at San Antonio, Texas Metropolitan Area(Fully Onsite) at Remote, Remote, USA |
| Email: [email protected] |
| From: Raj Khan, convextech.com [email protected] Reply to: [email protected] Hi, Hope you are doing good.!! Please let me know if you are interested in the below position.!! Position: Artificial Intelligence Engineer Location: San Antonio, Texas Metropolitan Area(Fully Onsite) Duration: 3+ months Contract Visa: No H1B/CPT Interview: Video Job Description: About the job We are seeking a highly motivated and skilled AI Engineer/Developer to join our team and play a crucial role in developing and implementing cutting-edge Generative AI solutions. You will be responsible for the entire AI development life cycle, from understanding business needs and problem definition to building, deploying, and optimizing solutions. In this role, you'll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives. Must Have: Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field 5+ years of experience in AI development and/or machine learning In-depth knowledge of Generative AI tools and techniques, including prompt engineering, retrieval-augmented generation, and text embedding Proficient in Python and other relevant programming languages (e.g., Java, C++). Proficient with GenAI orchestration tools/libraries like LlamaIndex, LangChain, and others Experience working with Large Language Models (LLMs) and Foundation Models. Strong understanding of natural language processing (NLP) concepts and techniques. Experience building and deploying production-grade AI systems. A passion for innovation and staying current with the latest advancements in Generative AI. Familiarity with Vector Databases and their applications in AI systems Responsibilities: Design and develop innovative Generative AI solutions, including exploration of various architecture choices, prompt engineering techniques, and fine-tuning strategies. Leverage Retrieval Augmented Generation (RAG), Vector Databases, and Graph Databases to enhance the accuracy and relevance of generated outputs. Integrate and orchestrate Generative AI tools like LLMs and Foundation Models into production-grade pipelines. Evaluate and optimize Generative AI workflows, ensuring high performance, reliability, and alignment with business goals. Maintain deployed solutions, continuously improving their performance and addressing potential issues. Stay up-to-date on the latest advancements in Generative AI research and development, actively seeking out new opportunities to innovate and improve. Document and communicate technical concepts effectively to both technical and non-technical audiences. Best Regards Md. Raj khan US IT Recruiter ConvexTech Inc. Email: [email protected] Linkedin linkedin.com/in/md-raj-khan-9b1498204 Keywords: cplusplus artificial intelligence machine learning information technology Maryland |
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| Thu Mar 21 02:37:00 UTC 2024 |