AI Engineer

Design, develop, and deploy advanced AI solutions (Generative AI, machine learning, blockchain).,Collaborate with cross-functional teams (data scientists, software engineers, business stakeholders).,Conduct research, feasibility studies, and proof-of-concept initiatives for emerging digital technologies.,Develop and maintain production-grade machine learning models and AI pipelines.,Ensure scalability, robustness, and compliance with industry regulations.,Translate complex business challenges into actionable AI strategies.,Offer data-driven insights to support decision-making.,Evaluate, implement, and optimize AI frameworks and tools using best practices.,Communicate findings and project updates effectively.,Stay current with industry trends and emerging technologies.

Bachelor's degree (or higher) in Computer Science, Engineering, Mathematics, or a related field; an advanced degree is preferred.,Strong background in AI, machine learning, and hands-on experience in designing and deploying production-ready models.,Proficiency in programming languages such as Python; knowledge of additional languages (e.g., C, C++) is a plus.,Experience working with Generative AI technologies, natural language processing (NLP), and computer vision.,Familiarity with blockchain technology.,Experience with cloud platforms such as AWS, GCP, or Azure.,Experience working with AI/ML frameworks like TensorFlow or PyTorch.,Demonstrated ability to analyze complex problems and propose innovative solutions.,Excellent verbal and written communication skills, with an ability to translate technical details for non-technical audiences.,Relevant certifications in AI, machine learning, or cloud technologies are beneficial.,Ability to thrive in a dynamic, cross-functional team environment, working effectively with diverse stakeholders.,Understanding of the financial markets and regulatory landscape is an asset.

Bachelor's Degree