Data Scientist / Machine Learning Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking a data science professional to perform exploratory data analysis, translate business problems into analytical and ML solutions, and develop production-ready models. You will work with software and DevOps to deploy APIs and monitor model performance.

Experience translating business requirements into analytical insights is essential, along with hands-on ML deployment and strong Python/SQL skills.

Qualifications

• Minimum 3 years of hands-on ML experience with production deployment.
• Strong ability to translate business problems into analytical solutions.
• Proficient in Python and SQL with data wrangling and visualization.

Responsibilities

• Perform exploratory data analysis to uncover trends and insights.
• Translate business problems into analytical and ML solutions.
• Design, develop, train, and optimise ML models and algorithms.
• Evaluate model performance using validation techniques and hyperparameter tuning.
• Deploy ML models into production environments via APIs.
• Collaborate with software eng and DevOps to build scalable AI solutions.
• Monitor deployed models and improve accuracy and efficiency.
• Present findings to technical and non-technical stakeholders.
• Stay current with AI/ML advancements and best practices.

Skills

Python

SQL

Data Wrangling

Data Visualization

DBMS

Machine Learning

Statistical Analysis

TensorFlow

PyTorch

Qlik Sense

RSA

Kubernetes

Docker

Power BI

Tools

Kubernetes

Docker

SharePoint

Microsoft Access

Power BI

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.