Gen AI Engineer

Job Description

Company Description Office Solution AI Labs, a division of Office Solution Americas, is a leading global consulting firm and GEN AI innovator specializing in outsourced product development, business process management, and custom application development. As an Authorized Microsoft Partner, the company delivers exceptional value to clients by creating tailored, cutting-edge solutions, including visually engaging Power BI custom charts using technologies like D3, React, and TypeScript. With over a decade of expertise and 1,000+ man years of offshore delivery, Office Solution has helped clients worldwide tackle complex business challenges and generate $3 billion in value. Their AI-enabled chatbot enhances decision-making by providing instant answers, underscoring their commitment to empowering businesses with data excellence. Role Description This is a full-time remote role for a Gen AI Engineer. The Gen AI Engineer will design and implement advanced AI solutions, utilizing neural networks, natural language processing (NLP), and pattern recognition to create intelligent applications. Day-to-day responsibilities include software development, refining models, and optimizing algorithms to enhance system efficiency and performance. Collaboration with cross-functional teams is also a key aspect of the role, ensuring the integration of AI-driven solutions into client systems. Qualifications Strong expertise in neural networks, pattern recognition, and natural language processing (NLP). Solid foundation in computer science and software development principles. Experience designing, training, and evaluating AI models for practical applications. Proficiency in coding languages such as Python, JavaScript, or TypeScript and familiarity with frameworks like TensorFlow or PyTorch. Excellent problem-solving skills and the ability to innovate within AI ecosystems. Bachelor?s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (advanced degree preferred). Experience with cloud platforms (e.g., Azure, AWS) and a strong understanding of data-driven workflows is a plus.