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Skills:

TensorFlow, Python, Javascript

Job type:

Full-time

• AI Solution Development: Lead the end-to-end lifecycle of AI solutions, from ideation and design through to deployment and ongoing support.
• Stakeholder Engagement: Communicate complex AI concepts clearly to non-technical stakeholders and clients, ensuring alignment with business needs.
• Technical Excellence: Apply prompt engineering te chniques, optimise AI model performance, develop machine learning models, build agentic AI systems, and leverage AI platforms such as Microsoft Copilot Studio.
• Best Practices: Ensure AI solutions are scalable, secure, maintainable, and ethically compliant, staying abreast of emerging technologies and industry standards.
• AI Expertise: Stay current with latest AI technologies and apply appropriate advancements into the team s practices.
• Bachelor s, Master s, or PhD in artificial intelligence, machine learning, data science, computer science, computer engineering, or a related discipline.
• At least seven years direct experience in AI or machine learning development, ideally in a business environment.
• Proven record designing, deploying, and supporting AI solutions for commercial clients.
• Experience managing complex projects and working with cross-functional teams. Consulting experience is advantageous.
• Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Strong software development skills in languages such as Python, JavaScript, or R.
• E xperience with Azure cloud and AI services (e.g., Azure AI services, Azure DevOps, Azure Functions, Azure Data Factory, Microsoft Fabric), as well as familiarity with other cloud platforms.
• Solid understanding of data engineering principles, tools, and big data technologies, with experience building data pipelines on Azure and awareness of alternative options.
• Knowledge of natural language processing and computer vision techniques is a plus.
• Experience in multi-agent systems and collaborative AI is a plus.
• Excellent problem-solving and analytical abilities.
• Effective communication, presentation, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
• Demonstrated leadership, mentoring, or team management experience.
• Highly adaptable, with a continuous learning mindset and the ability to thrive in a dynamic environment.
• To help us comply with PDPA rules, please don't include your religion or racial information on your CV.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Coaching and Feedback, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, E-Commerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Information Technology Applications, Intellectual Curiosity, IT Governance {+ 17 more}Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Available for Work Visa Sponsorship?.
• Government Clearance Required?.
• Job Posting End Date.
• April 30, 2026

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.