AI Engineer (Permanent)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking an experienced AI/ML leader to design, develop, and deploy production-grade ML solutions with a focus on geospatial applications.

You will work closely with software engineers to integrate AI capabilities into end-to-end platforms. The role requires strong ML foundations, Python expertise, and hands-on experience with PyTorch, OpenCV, and ML deployment via Docker and API frameworks.

Qualifications

• Degree in Computer Science, Electrical Engineering, or a related discipline.
• 5+ years of experience in developing and deploying production-grade ML solutions.
• Strong foundation in ML and deep learning, including model development, evaluation, and optimisation.

Responsibilities

• Provide technical leadership in design, development, and deployment of production-grade AI/ML solutions for geospatial applications.
• Design and architect scalable ML systems, collaborating with software engineers to integrate AI into end-to-end platforms.
• Drive model performance, reliability, and MLOps practices including deployment, monitoring, and optimisation.
• Collaborate with product, business development, and sales to translate business requirements into technical solutions and delivery plans.
• Provide mentorship and guidance to engineers to support decision-making and capability development.
• Support pre-sales and post-sales activities with technical expertise and consultation.

Skills

Python

Machine learning

Deep learning

MLOps

Geospatial AI

API development

Mentorship

Stakeholder management

Communication

Education

Bachelor's degree in Computer Science or Electrical Engineering

Tools

PyTorch

scikit-learn

OpenCV

Docker

Flask

FastAPI

Node.js

Graph databases

RAG (Retrieval-Augmented Generation)

Job description

Responsibilities:

• Provide technical leadership in the design, development, and deployment of production-grade AI and machine learning solutions, with a focus on geospatial applications.


• Design and architect scalable machine learning systems, working closely with software engineers to integrate AI capabilities into end-to-end platforms.


• Drive model performance, system reliability, and continuous improvement through MLOps best practices, including deployment, monitoring, and optimisation.


• Collaborate with product, business development, and sales teams to translate business requirements into clear technical solutions and delivery plans.


• Provide technical guidance and mentorship to engineers, supporting technical decision-making and capability development within the team.


• Support pre-sales and post-sales activities by providing technical expertise and consultation where required.

Requirements:

• Degree in Computer Science, Electrical Engineering, or a related discipline.


• At least 5 years of relevant experience in developing and deploying production-grade machine learning solutions.


• Strong foundation in machine learning and deep learning, including model development, evaluation, and optimisation.


• Proficient in Python, with hands-on experience in machine learning frameworks such as PyTorch and scikit-learn, as well as computer vision libraries such as OpenCV.


• Experience in deploying and maintaining ML services, including API development using Flask, FastAPI, or Node.js, and containerisation using Docker.


• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), retrieval optimisation, and graph databases will be advantageous.


• Self-motivated and proactive, with strong ownership, stakeholder management, and communication skills.


• Ability to mentor team members and collaborate effectively across technical and business teams.