[T03] Data Scientist / Machine Learning Engineer

Visa Hunt; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Visa Hunt in Singapore is seeking an experienced ML Engineer to explore data, translate business problems into analytical solutions, and design, train, and deploy scalable machine learning models. You will work with software, DevOps, and data teams to deliver production-ready AI solutions and continuously improve model performance.

You will stay at the forefront of AI advancements, applying new techniques and tools to drive business value while ensuring robust, scalable deployments across

Qualifications

• 3+ years of hands-on experience in ML implementation, deployment, and statistical data analysis with large datasets.
• Strong experience translating business requirements into analytical solutions using statistical and ML techniques.

Responsibilities

• Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
• Translate business problems into analytical and machine learning solutions.
• Design, develop, train, and optimise ML models and algorithms.
• Evaluate model performance with validation, hyperparameter tuning, and optimisation methods.
• Deploy ML models into production environments and integrate with applications via APIs.
• Collaborate with software engineering and DevOps to build scalable AI solutions.
• Monitor deployed models and continuously improve accuracy and efficiency.
• Present findings and recommendations to technical and non-technical stakeholders.
• Stay current with AI/ML/data science advancements and advise on tools and best practices.

Skills

Python

SQL

Data Wrangling

Data Visualisation

DBMS

Agile

Business problem translation

Tools

TensorFlow

PyTorch

SAS

Qlik Sense

Kubernetes

Docker

Job description

Key Responsibilities:

• Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
• Translate business problems into analytical and machine learning solutions.
• Design, develop, train, and optimise machine learning models and algorithms.
• Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
• Deploy machine learning models into production environments and integrate them with existing applications through APIs.
• Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions.
• Monitor deployed models, troubleshoot issues, and continuously improve model accuracy and efficiency.
• Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with advancements in AI, machine learning, and data science, recommending new tools and best practices where applicable.

Requirements:

• Minimum 3 years of hands-on experience in machine learning implementation, deployment, and statistical data analysis involving large datasets.
• Strong experience translating business requirements into analytical solutions using statistical and machine learning techniques.
• Proficient in:PythonSQLData WranglingData VisualisationDatabase Management Systems (DBMS)
• Experience with one or more of the following:TensorFlowPyTorchRSASQlik Sense
• Experience deploying machine learning models into production environments.
• Familiarity with Agile development methodologies such as Scrum is preferred.

Nice to Have:

Experience with any of the following technologies would be advantageous:

• Power BI
• Microsoft Access
• SharePoint
• Kubernetes
• Docker or Podman
• Microservices Architecture
• DevSecOps practices

Work Location: East / West

(EA Reg No: 20C0312)