ML Engineer & Data Scientist — Production AI

TALENTSIS PTE. LTD.

Singapore

On-site

SGD 70,000 - 120,000

Full time

7 days ago
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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.

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