Minimum qualifications: Bachelors degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go). Experience in applied AI, with a focus
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best
At MarketOnce, we empower businesses with the insights and strategies they need to excel in todays dynamic market. With a strong foundation in market research, we offer innovative solutions in research, software, consulting, advertising, and marketing
Delivery Management Engineer III- AI & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients success. Youll work alongside talented professionals reimagining and
Lead Data Scientist Location - Denver , CO Your Role We are seeking a highly experienced Senior AI Architect / Lead Engineer to lead the design, architecture, and development of next-generation AI-powered Customer Experience (CX) platforms.
Our vision: - To inspire new possibilities for the health ecosystem with technology and human ingenuity. Key Responsibilities: Define overall AI QA strategy Lead testing efforts across multiple AI initiatives Mentor other QA engineers Drive AI
Role: Lead Engineer - II_AI QA Manual Testing Location: Denver, CO(Hybrid) Key Responsibilities: Define overall AI QA strategy Lead testing efforts across multiple AI initiatives Mentor other QA engineers Drive AI quality governance and operational excellence
Primary Skills (Core Requirements) AI/ML & GenAI Expertise Machine learning, NLP, deep learning, agentic AI frameworks Designing GenAI solutions (RAG, copilots, conversational AI) Solution Architecture (End-to-End) Designing scalable architectures across data, APIs, and UI Microservices, event-driven, and cloud-native