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Contract Senior AI/LLM Developer

Posted 4 days agoViewed

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💎 Seniority level: Senior, 3+ years

💸 Salary: 65.0 - 85.0 USD per hour

🔍 Industry: Software Development

🏢 Company: The Motley Fool👥 501-1000💰 $25,000,000 Private over 15 years agoPublishingConsultingNewsFinancial ServicesMarketing

🗣️ Languages: English

⏳ Experience: 3+ years

Requirements:
  • At least 3 years of practical experience in data science or machine learning, with a proven track record in AI implementation.
  • Demonstrated experience with OpenAI, other Large Language Models, and open-source foundational models is highly desirable.
  • Familiarity with AWS (Amazon Web Services) and engineering in a cloud-native environment.
  • Proficiency in Python and RESTful APIs is essential.
  • Hands-on experience with OpenAI and other Machine Learning technologies.
  • Familiarity with Prompt Engineering and LLM fine-tuning methodologies.
  • Expertise in Retrieval Augmented Generation (RAG) architectures and foundational model toolsets.
  • Knowledge of DevOps (CI/CD) practices is beneficial.
  • Strong problem-solving and analytical skills, capable of managing multiple priorities and deadlines.
  • Ability to effectively translate technical concepts for diverse audiences.
  • Excellent communication skills, both written and verbal.
  • Strong sense of accountability and responsibility.
Responsibilities:
  • Lead the development of generative AI projects, ensuring they are seamlessly integrated into the Motley Fool’s infrastructure.
  • Utilize OpenAI to incorporate company-specific data, focusing on optimizing content relevancy and accuracy, adhering to data privacy standards.
  • Develop and manage comprehensive AI solutions, ensuring scalability and effectiveness across the entire website, utilizing OpenAI and other Large Language Models (LLMs).
  • Design and manage scalable AI models in various learning paradigms, including supervised, unsupervised, and reinforcement learning.
  • Analyze the website’s technical infrastructure to identify integration requirements for REST APIs and AI technologies.
  • Plan, configure, and manage cloud-based resources, focusing on AI-driven enhancements for the website.
  • Develop frameworks to evaluate the efficacy of LLMs and drive continuous improvements in model quality.
  • Collaborate with IT and security teams to meet stringent data security and privacy standards.
  • Partner with various departments to implement AI-driven solutions, monitor their performance, and continuously refine them for better efficiency and user experience.
  • Strategize the deployment and migration of cloud-based AI architectures.
  • Collaborate with stakeholders and share knowledge/best practices for OpenAI integration Fool-wide.
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