Job Description

(Machine Learning Models & Algorithms)
Basic Salary: up to $16,000 (depends on experience)
Working hours: 9am - 6am
Working days: Mon - Fri
Working location: Raffles PlaceCurrent experience as an Assistant Professor in a university setting is required.Job Responsibilities

• Develop and implement a strategic vision for AI initiatives in alignment with the company\'s overall goals.
• Identify opportunities for AI to enhance business processes, products, and services.
• Oversee the entire lifecycle of AI projects, from initial concept through development, deployment, and monitoring.
• Ensure projects are delivered on time, within scope, and within budget.
• Build, lead, and mentor a high-performing AI team, fostering a culture of collaboration, innovation, and continuous improvement.
• Conduct performance reviews and provide ongoing coaching and development opportunities for team members.
• Stay abreast of the latest advancements in AI and machine learning technologies.
• Provide technical guidance and hands-on support to the team, ensuring the use of best practices and state-of-the-art techniques.
• Work closely with cross-functional teams, including product management, engineering, and marketing, to integrate AI solutions into products and services
• Collaborate with external partners, vendors, and academic institutions to advance AI capabilities.
• Drive the research and development (R&D) of new AI models and algorithms.
• Ensure the scalability, reliability, and efficiency of AI solutions.
• Oversee the collection, preprocessing, and analysis of large datasets.
• Ensure data quality, integrity, and security in compliance with relevant regulations.
• Implement robust metrics and monitoring systems to assess the performance and impact of AI solutions.
• Continuously evaluate and optimize AI models and processes.

Job Requirements

• Min. PhD in Computer Science, Data Science, AI, Machine Learning, or a related field.
• Current experience as an Assistant Professor
• Proficiency in programming languages such as Python, R, & Java.
• Deep understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms.
• Experience in leading a diverse team of professionals (AI Project lead).
• With Published research in reputable AI journals or conferences.
• Active participation in AI and data science communities

Quah Siying (Jeslyn) R1982418
The Supreme HR Advisory Pte Ltd 14C7279Employer questionsYour application will include the following questions:Which of the following statements best describes your right to work in Singapore?How many years\' experience do you have as a Professor?Have you worked in a role which requires experience with machine learning techniques?Which of the following languages are you fluent in?How many years\' experience do you have as a PhD Researcher?Company profileThe Supreme HR Advisory4.6\xc2\xb7Human Resources & Recruitment51-100 employeesHere at The Supreme HR Advisory, we pride ourselves on being a vibrant recruitment firm with strong Southeast Asia standing. We believe in customizing our services to your unique needs. We are dedicated, enthusiastic and we take innovative approaches in customizing our services. Our depth of experience enables us to understand each industry\'s challenges and provide expert advice on hiring requirements. Our goal is to leverage on our local knowledge and global expertise to deliver high-quality candidates specifically matched to the requirements of each of our client.Here at The Supreme HR Advisory, we pride ourselves on being a vibrant recruitment firm with strong Southeast Asia standing. We believe in customizing our services to your unique needs. We are dedicated, enthusiastic and we take innovative approaches in customizing our services. Our depth of experience enables us to understand each industry\'s challenges and provide expert advice on hiring requirements. Our goal is to leverage on our local knowledge and global expertise to deliver high-quality candidates specifically matched to the requirements of each of our client.Company informationRegistration No.201426535WEA No.14C7279

The Supreme HR Advisory