[T05] Senior/ Machine Learning Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking a data-driven ML Engineer to translate business problems into scalable AI solutions. You will design, train, and deploy models, evaluate performance, and integrate models with production APIs.

Work with software engineering and DevOps teams to build robust, scalable AI systems, monitor models in production, and stay updated with the latest ML advances. East/West Singapore location.

Qualifications

• 3+ years hands-on experience in ML deployment and data analysis.
• Strong ability to translate business problems into analytical ML solutions.
• Proficient in Python and SQL; data wrangling and visualization.
• Experience with TensorFlow, PyTorch, RSAS, and Qlik Sense.
• Experience deploying ML models into production environments.
• Familiarity with Agile development methodologies such as Scrum.

Responsibilities

• Perform exploratory data analysis to uncover trends, patterns, and 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 validation techniques, hyperparameter tuning, and optimisation.
• Deploy machine learning models into production environments via APIs.
• Collaborate with software engineering and DevOps to build scalable AI solutions.
• Monitor deployed models, troubleshoot issues, and improve accuracy and efficiency.
• Present findings clearly to technical and non-technical stakeholders.
• Stay current with advancements in AI, ML, and data science; adopt best practices.

Skills

Python

SQL

Data Wrangling

Data Visualization

Model Deployment

Agile

Tools

TensorFlow

PyTorch

RSAS

Qlik Sense

Kubernetes

Docker

Podman

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.