ML Engineer & Data Scientist — Production AI

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

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.