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Ai Engineer

  • Singapore
  • Negotiable
  • Permanent
  • Discipline:
  • Ref: 50371
Vishnu Siva
GENERAL DESCRIPTION
We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team which is part of our ML & AI ART. In this role, Bridge the gap between experimental data science and production-grade systems. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations – including engineering a robust library of AI skills for agent use.

KEY FEATURES OF THE POSITION
Functional / Technical
• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

SKILLS REQUIREMENTS OF THE POSITION
Competencies
• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements
• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)

ROLE PROFILE | 2/2
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Apply for this job

We are an inclusive organisation and actively promote equality of opportunity for all with the right mix of talent, skills, and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

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Ai Engineer

  • Singapore
  • Negotiable
  • Permanent
GENERAL DESCRIPTION
We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team which is part of our ML & AI ART. In this role, Bridge the gap between experimental data science and production-grade systems. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations – including engineering a robust library of AI skills for agent use.

KEY FEATURES OF THE POSITION
Functional / Technical
• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

SKILLS REQUIREMENTS OF THE POSITION
Competencies
• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements
• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)

ROLE PROFILE | 2/2
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field
Apply Now

Data Analyst

  • Singapore
  • Negotiable
  • Permanent
About the Role
In this role, you will be a core member of a small but effective integrated regional team that will help build and grow APAC’s digital ecosystem.
You will be in charge of collecting, analysing, and interpreting complex data sets to provide insights that drive business decisions. The ideal candidate will have a strong passion for data mining, analysis and data visualisation. You will also be able to work independently and as part of a team to deliver high-quality results with the goal of bringing best in class experiences to life for our consumer. You will collaborate with cross-functional teams to identify opportunities for digital business growth.
You will report directly to the Senior Manager, Digital & E-Commerce, and this is an independent contributor role managing internal brands across APAC. You will also be working collaboratively with our distribution partners, digital, ecommerce leads and regional business development managers to drive strategic thinking and KPI measurements.
What You Will Do
Data Collation and Analysis:
•
Design and implement data collection methodologies and process to collate relevant data from multiple sources and ensure sanity check.
•
Conduct detailed data analysis using data techniques, mining and visualisation to extract insights and identify trends.
Reporting and Visualisation:
•
Create dashboards, reports and visualisations that effectively communicate data-driven insights to various stakeholders.
•
Present findings and recommendations to internal teams, stakeholders and senior management in an accurate and concise manner.
•
Continuously refine reporting processes to improve accuracy, efficiency and effectiveness of data
Business Insights and Strategy:
•
Collaborate with internal and external stakeholders to understand their analytical needs.
•
Analyse data, work with stakeholders to understand their needs and translate data into actionable insights and recommendations.
•
Develop data visualisation to communicate findings.
•
Stay updated with industry trends and best practices in data analytics.
•
Collaborate with the wider product and marketing team to plan and create digital driven marketing plans (includes paid media), content, creatives, KPIs & reporting.
•
Work in hand with the global insights team to manage and deliver an annual brand health insights report across key APAC countries
•
This role will also require you to manage agency relationships, to ensure data and reports are delivered time
What You Need to Be Successful
•
Bachelor’s Degree in eCommerce/Digital analytics, Information Systems, Computer Science or related field
•
2 or more years working experience in data analytics.
•
Strong understanding of data mining, analysis and data visualisation.
•
Excellent analytical and problem-solving skills with a keen attention to detail
•
Strong communication and presentation skills to convey complex info to non-technical audiences
•
Ability to work independently and as part of a team in a fast-paced environment.
•
Familiar with eCommerce operating platforms, web analytics, UX-UI tools (Google Analytics, Mouseflow or similar), Proficient in Excel, Power BI or similar tools.
Bonus Points if You Have
•
Prior experience in Consumer Electronics or FMCG industry with APAC experience.
•
Ability to juggle between the details and big picture, manage multiple and competing projects and priorities.
•
Passion for and genuine curiosity for innovation in the Digital / e-Commerce space and a passion for data analysis.
•
Data/Insight-driven, strong sense of accountability and solution-oriented are key. Ability to draw insights from multiple data sources and formulate recommendations for improvements.
•
Adaptable to ambiguity, changes and be at the forefront to lead change in both actions and behavior
•
Ability to work independently and collaboratively in a culturally-diverse team environment, and understanding what it means to achieve success with others and through others
•
Excellent communicator and able to perform well in a matrixed organization. Proven experience in managing and influencing a network of local senior managers and managers in a cross functional team.
What Makes You Eligible
•
Be willing to travel.
 
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