AI & ML Engineer

Qualifications and Experience: A bachelor's or master's degree in computer science / engineering, or a related technical field, with a strong emphasis on cloud technologies and AI/ML. 4+ years of relevant experience in machine learning, data science, software development or in a relevant role, with a proven track record in the Azure platform. Deep understanding of machine learning algorithms, language models, NLP and statistical models. Proficiency in Python, TypeScript, NodeJS, ReactJS with extensive experience in cloud-based AI development and deployment. Demonstrated ability to work in teams and projects using Agile methodologies. Effective communication skills and superior attention to detail. For the Singapore location: hold Singaporean nationality or Permanent Resident (PR) status. Tasks and Responsibilities: Design and develop innovative AI/ML solutions which will be running in the Azure cloud platform, focusing on language models, scalability, efficiency, and compliance with healthcare and life science standards. Design AI applications that can solve a broad range of problems, enhance decision-making, and optimize processes within the healthcare and life science sectors. Create and manage AI/ML algorithm pipelines using Azure ML and other relevant cloud-native services. Excellent understanding of software development best practices. Develop and maintain a library of custom AI/ML assets (code, components, and integrations) to be deployed toward different customer projects. Collaborate with cross-functional teams to integrate AI/ML solutions into broader IT and business systems, acting as the integration driver & architect. Maintain a proactive approach to learning and applying the latest advancements in AI, ML, LLMs, NLP and the infrastructure that supports them. Support our sales teams by providing input & support for client presentations, statements of work, etc. Experienced in Agile and DevOps methodologies. #J-18808-Ljbffr