AI/Machine Learning Engineer (Junior/Senior)

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

Benefits offered by this job

Exposure to innovative AI/ML

Collaborative working environment

Career development opportunities

Competitive salary and benefits

Job summary

TALENTSIS PTE. LTD. is seeking a full-time AI/ML Engineer to design, develop, and deploy machine learning solutions using large datasets. You will analyze data, build models, and deploy them through production APIs while collaborating with software engineering and DevOps teams.

The role requires 3+ years in ML, strong Python/SQL skills, and experience with TensorFlow or PyTorch. Familiarity with Docker/Kubernetes and Agile practices is a plus. Competitive salary and benefits offered.

Qualifications

• 3+ years of experience in ML implementation, deployment and statistical data analysis.
• Proficiency in Python and SQL; strong data wrangling skills.
• Experience with TensorFlow or PyTorch; knowledge of data visualization and DB management.
• Exposure to Docker, Kubernetes, Microservices, and DevSecOps considered a plus.
• Familiarity with Agile or Scrum development methodologies is preferred.

Responsibilities

• Analyse large datasets to identify trends and business insights.
• Develop, train, test, and optimise ML and DL models.
• Apply statistical techniques to evaluate model performance and accuracy.
• Deploy ML models into production through APIs and monitor performance.
• Collaborate with software engineering and DevOps teams on solution delivery.

Skills

Problem solving

Agile/Scrum

Statistical analysis

Data visualization

Python

SQL

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Power BI

R

SAS

Job description

We are seeking a full-time, permanent AI/Machine Learning Engineer to design, develop, and deploy machine learning solutions using large datasets to address business challenges and generate actionable insights.

Key Responsibilities

• Analyse large datasets and identify trends, patterns, and business insights.
• Develop, train, test, and optimise machine learning and deep learning models.
• Apply statistical techniques to evaluate model performance and accuracy.
• Deploy and integrate ML models into production systems through APIs.
• Monitor, maintain, and improve model performance.
• Collaborate with software engineering and DevOps teams on solution delivery.

Requirements

• Minimum 3 years of experience in Machine Learning implementation, deployment, and statistical data analysis.
• Strong proficiency in Python, SQL, and data wrangling .
• Experience with TensorFlow, PyTorch, or other machine learning frameworks .
• Knowledge of statistical analysis, data visualisation, and database management.
• Experience with R, SAS, Qlik Sense, or Power BI is advantageous.
• Familiarity with Docker, Kubernetes, Microservices, and DevSecOps is a plus.
• Exposure to Agile or Scrum development methodologies is preferred.

What We Offer

• Exposure to innovative AI/ML technologies and projects.
• Collaborative working environment.
• Career development opportunities.
• Competitive salary and comprehensive benefits.

(EA Reg No: 20C0312)