Senior AI/Machine Learning Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking an experienced ML Engineer to perform EDA, translate business problems into analytical ML solutions, and design production-ready models. You will collaborate with software engineering and DevOps teams to deploy scalable AI solutions and continuously optimise models.

The role requires 3+ years in ML, strong Python/SQL skills, and experience deploying models in production; familiarity with Scrum is a plus. East/West Singapore location; onsite work is expected.

Qualifications

• Minimum 3 years of hands-on experience in ML 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 Python, SQL, Data Wrangling, Data Visualisation, and DBMS.
• Experience deploying machine learning models into production environments.
• Familiarity with Agile development methodologies such as Scrum is preferred.

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 validation techniques, hyperparameter tuning, and optimisation methods.
• Deploy ML models into production environments and integrate them via APIs.
• Collaborate with software engineering and DevOps teams to build scalable AI solutions.
• Monitor deployed models and continuously improve accuracy and efficiency.
• Present findings and recommendations to technical and non-technical stakeholders.
• Stay current with AI and ML advancements and recommend new tools and practices.

Skills

Machine Learning

Data Analysis

Business Requirements Translation

Statistical Techniques

Agile

Tools

Python

SQL

TensorFlow

PyTorch

Kubernetes

Docker

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:

• Power BI
• Microsoft Access
• SharePoint
• Kubernetes
• Docker or Podman
• Microservices Architecture
• DevSecOps practices

Work Location:

East / West

EA Reg No: 20C0312