2 ai ml engineer jobs found

Position: Manager , Field Applications Engineer Job Description: What You’ll Be Doing Leading a team of FPGA FAEs to drive demand creation activities. Responsible for driving team to achieve the KPIs. Building relationships with key decision makers of customers.  Familiarize with the latest technologies in FPGA and Acceleration domains like AI/ML by attending supplier training in person and via conference calls. Provide technical support and guidance to customers on FPGA solutions. Troubleshoot and resolve customer issues related to FPGA systems. Provide in-depth technical support to customers in their selection and use of Arrow PLD lines development tools, silicon and IP products that ensure design wins for Arrow. Stay updated on the latest FPGA technologies and trends. Drive demand creation by maximizing Arrow content on designs. Understand customer needs and leverage Arrow’s engineering and design services resources to facilitate solutions for customers....

Position: AI Architect Job Description: A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals. What we're looking for: Education : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. Skills: Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP,...