[T05] Senior Data Scientist / Machine Learning Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 135,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking an experienced ML Engineer to translate business needs into analytics and scalable ML solutions. You will design, train, and optimise models, deploy them via APIs, and work with software and DevOps teams to ensure production readiness.

The role requires hands-on ML deployment experience, strong Python/SQL skills, and familiarity with agile practices. Ability to communicate insights to stakeholders is essential, with east/west Singapore as the work location.

Qualifications

• Minimum 3 years hands-on experience in ML 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 Python, SQL, Data Wrangling, Data Visualisation, and DBMS.
• Experience deploying ML models into production environments.
• Familiarity with Agile development methodologies such as Scrum is preferred.

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 validation techniques, hyperparameter tuning, and model optimisation methods.
• Deploy ML models into production environments and integrate them with applications through APIs.
• Collaborate with software engineering and DevOps to build scalable AI solutions.
• Monitor deployed models, troubleshoot issues, and improve model accuracy and efficiency.
• Present findings to technical and non-technical stakeholders.
• Stay current with AI advances and recommend new tools and best practices.

Skills

Machine learning implementation

Business problem translation

Agile/Scrum familiarity

Tools

Python

SQL

Data Wrangling

Data Visualisation

DBMS

TensorFlow

PyTorch

Qlik Sense

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)

Only shortlisted candidates will be notified.