AI Architect for 100% Remote

Job Details:

We are in search of a talented, driven and hands-on AI Architect/Engineer to spearhead the design, development, and integration of AI-driven functionalities within our sports betting application. The ideal candidate will possess a deep understanding of artificial intelligence, machine learning, and software development, with a focus on leveraging AI to summarize web content, generate images, and implement RAG (Retrieve-and-Generate) mechanisms to enhance user experience and outcomes.

Responsibilities:

• AI Architecture: Lead the conceptualization and architecture of AI-driven systems and components tailored to summarizing web content, generating images, and implementing RAG mechanisms within the sports betting application.
• Machine Learning Development: Develop and deploy machine learning models and algorithms for tasks such as natural language processing (NLP), image generation, and RAG-based information retrieval, ensuring robustness, scalability, and performance.
• Web Content Summarization: Design and implement algorithms for extracting key information and generating concise summaries from web content related to sports events, news articles, and user-generated content.
• Image Generation: Develop AI models and techniques for generating images, graphics, and visual elements that enhance the user interface and overall user experience of the sports betting application.
• RAG Integration: Integrate RAG (Retrieve-and-Generate) mechanisms into the application architecture to enhance search results, recommendations, and personalized content delivery based on user preferences, historical interactions, and contextual relevance.
• Data Management: Collaborate with data engineers and data scientists to acquire, preprocess, and manage diverse data sources, including text data, image data, user feedback, and contextual information, for training and evaluation of AI models.
• Performance Optimization: Optimize AI algorithms, models, and infrastructure to achieve high efficiency, accuracy, and responsiveness, leveraging techniques such as parallel processing, distributed computing, and model compression.
• Cross-Functional Collaboration: Work closely with product managers, UI/UX designers, frontend/backend engineers, and other stakeholders to translate business requirements and user needs into AI-powered features and functionalities that align with the overall product vision and strategy.
• Research and Innovation: Stay abreast of the latest advancements in AI, machine learning, and related fields, and explore innovative approaches, tools, and frameworks that can drive differentiation and competitive advantage in the sports betting domain.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• X years of experience in AI architecture, machine learning development, and software engineering, preferably in consumer-facing applications or the sports betting/gaming industry.
• Proficiency in programming languages such as Python, Java, or C++, as well as deep learning frameworks like TensorFlow, PyTorch, and Keras.
• Strong understanding of AI/Client concepts, including NLP, computer vision, generative models, RAG architectures, and large-scale data processing.
• Experience with web scraping, text summarization, image generation, and information retrieval techniques is highly desirable.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Excellent communication skills, problem-solving abilities, and the capacity to work collaboratively in a fast-paced startup environment.
• A creative and innovative mindset, with a passion for pushing the boundaries of what's possible with AI technology in the context of sports betting and consumer applications.