Machine Learning/Data Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking a data-driven ML engineer to perform EDA, translate business problems into analytical solutions, and deploy ML models into production environments.

You will collaborate with software engineering and DevOps to build scalable AI solutions and continuously improve model performance. Ideal candidates have 3+ years of hands-on ML experience, strong Python/SQL skills, and familiarity with TensorFlow, PyTorch, and Qlik Sense.

Qualifications

• Proficient in Python, SQL, and data wrangling with strong data visualisation skills.
• Experience with large datasets, statistical analysis, and ML deployment.
• Familiar with DBMS and data management concepts.

Responsibilities

• Perform exploratory data analysis to uncover trends and actionable insights.
• Translate business problems into analytical and ML solutions.
• Design, develop, train, and optimise ML models and algorithms.

Skills

Python

SQL

Data Wrangling

Data Visualisation

DBMS

Tools

TensorFlow

PyTorch

SAS

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

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)