AI & ML Engineer

Digital Services - Singapore, Kosice

Apply Now

Your profile / requirements

• To be successful in this role, you should possess the following 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 inmachine 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 MLand 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. 

Apply Now