Data Scientist / Machine Learning Engineer

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)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.