Senior ML Engineer (Computer Vision & Video Analytics) at Changi Airport Group in Changi, East Region, Singapore | Kablio

Role

Description

generative ai

data pipelines

video analytics

gpu optimization

model integration

ai roadmap

We are seeking a Senior ML Engineer to lead the design and deployment of next-generation real-time computer vision and video analytics platforms. This role combines cutting-edge computer vision, Generative AI, and agentic AI to power large-scale, mission-critical solutions across edge, on-prem, and cloud environments.

Apply Generative AI (LLMs, multimodal, RAG) to enhance situational awareness and adaptive system response.
Build and optimize distributed data pipelines for high-volume, low-latency video streams.
Lead the architecture and development of enterprise-grade, real-time video analytics solutions.
Shape our AI roadmap, evaluating and adopting the latest advancements in CV, GenAI, and agentic AI.
Drive GPU optimization and performance tuning for large-scale deployments.
Ensure scalability, reliability, and governance of deployed AI systems.
Integrate advanced deep learning and multimodal AI models (detection, segmentation, tracking, classification) into live video workflows.

Requirements

kafka

aws

cuda

python

mlops

leadership

Solid knowledge of real-time data streaming (Kafka, Pub/Sub, or similar).
Understanding of video compression and streaming protocols (H.264, H.265, RTSP, WebRTC).
Strong expertise in cloud platforms (AWS, GCP) — experience with services like Sagemaker, Vertex AI, BigQuery, Kinesis, or equivalent.
Hands-on experience with GPU acceleration (CUDA), Docker/Kubernetes, and microservices for scalable AI systems.
Strong communication and leadership skills to influence both technical direction and business strategy.
Experience with MLOps: model deployment, monitoring, lifecycle management.
Strong programming skills in Python and C++, with experience in PyTorch, TensorFlow, TensorRT.
Familiarity with GenAI and agentic AI frameworks in production settings.
Bachelor Degree with 6+ years of hands-on experience in computer vision, AI/ML, or video analytics, with real-world deployments.
Proficiency with video frameworks (NVIDIA DeepStream, OpenCV, GStreamer) and modern CV models (YOLO, DETR, SAM, Transformers).

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1981

Historical Opening

Signifies the year of the airport's establishment, marking its foundational beginnings.

Manages Singapore’s Changi Airport, a global aviation hub known for its excellence.
Oversees daily airport operations, including passenger services, cargo handling, and ground operations.
Development projects focus on enhancing connectivity, capacity, and sustainability.
Notable projects include the Jewel Changi, a mixed-use complex combining retail, entertainment, and nature.
Maintains its position as one of the world’s top airports through continuous innovation.
Operates with a strategic focus on efficiency, safety, and customer experience.

Culture + Values

We value our People.
We succeed with our Partners.
We are committed to our Customers.
We lead in our Business.
Integrity and service are at the heart of everything we do.
Changi Service DNA: Personalised, Stress‑Free, Positively Surprising.
Employees empowered to 'Start Something Today' through innovation programmes (eg: Learnfest, 4D+1i week).
Modern, collaborative workspaces with open-concept desks and social pantries.
Terminal H initiatives: Fun Friday, art‑jamming, fitness & cooking classes.

Environment + Sustainability

2050

Net-Zero Aspiration

Aiming to achieve net-zero emissions by 2050.

20,000 tCO2e

Annual CO2E Reduction

Expansion of solar energy capacity to 43 MWp will reduce CO2 emissions by 20,000 t annually.

2022

Sustainable Aviation Fuel Piloted

First use of Sustainable Aviation Fuel (SAF) in 2022, reducing CO2 emissions for the Singapore Airlines Group.

3–5%

SAF Uptake Target

Target to achieve 3–5% SAF blended fuel usage by 2030 under the Civil Aviation Authority of Singapore (CAAS) levy.

100% electric baggage tractors since 2017; expanding airside charging network to 300+ by mid-2020s.
Transitioning all new airside light vehicles to electric from 2025; full fleet transition to cleaner energy by 2040.
Processed >250 t food waste via digesters across 4 terminals; Airport Carbon Accreditation Level 3.
Green Procurement: lifecycle-based P-Q-E scoring implemented since 2023; 80% wool carpets with reuse/recycling pathways.

Inclusion & Diversity

30% Women by 2025

Board Gender Balance

Target for women on the board and in senior leadership by 2025.

40% Women in Management

Women in Management Roles

As of 2024, women comprise 40% of management roles.

50% Participation Growth

Employee Networks for Women in STEM

Participation in employee networks supporting women in STEM roles grew by 50% from 2022–2024.

≤2% Pay Parity

Gender Pay Parity Metrics

Annual reporting shows a median deviation of ≤2% in gender pay parity by 2024.

Launched structured mentoring and leadership programmes for women in operations and engineering.

Articles

Changi Airport Careers

Corporate Social Responsibility

Changi Airport News

Changi Airport Services

Role

Description

generative ai

data pipelines

video analytics

gpu optimization

model integration

ai roadmap

Apply Generative AI (LLMs, multimodal, RAG) to enhance situational awareness and adaptive system response.
Build and optimize distributed data pipelines for high-volume, low-latency video streams.
Lead the architecture and development of enterprise-grade, real-time video analytics solutions.
Shape our AI roadmap, evaluating and adopting the latest advancements in CV, GenAI, and agentic AI.
Drive GPU optimization and performance tuning for large-scale deployments.
Ensure scalability, reliability, and governance of deployed AI systems.
Integrate advanced deep learning and multimodal AI models (detection, segmentation, tracking, classification) into live video workflows.

Requirements

kafka

aws

cuda

python

mlops

leadership

Solid knowledge of real-time data streaming (Kafka, Pub/Sub, or similar).
Understanding of video compression and streaming protocols (H.264, H.265, RTSP, WebRTC).
Strong expertise in cloud platforms (AWS, GCP) — experience with services like Sagemaker, Vertex AI, BigQuery, Kinesis, or equivalent.
Hands-on experience with GPU acceleration (CUDA), Docker/Kubernetes, and microservices for scalable AI systems.
Strong communication and leadership skills to influence both technical direction and business strategy.
Experience with MLOps: model deployment, monitoring, lifecycle management.
Strong programming skills in Python and C++, with experience in PyTorch, TensorFlow, TensorRT.
Familiarity with GenAI and agentic AI frameworks in production settings.
Bachelor Degree with 6+ years of hands-on experience in computer vision, AI/ML, or video analytics, with real-world deployments.
Proficiency with video frameworks (NVIDIA DeepStream, OpenCV, GStreamer) and modern CV models (YOLO, DETR, SAM, Transformers).

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1981

Historical Opening

Signifies the year of the airport's establishment, marking its foundational beginnings.

Manages Singapore’s Changi Airport, a global aviation hub known for its excellence.
Oversees daily airport operations, including passenger services, cargo handling, and ground operations.
Development projects focus on enhancing connectivity, capacity, and sustainability.
Notable projects include the Jewel Changi, a mixed-use complex combining retail, entertainment, and nature.
Maintains its position as one of the world’s top airports through continuous innovation.
Operates with a strategic focus on efficiency, safety, and customer experience.

Culture + Values

We value our People.
We succeed with our Partners.
We are committed to our Customers.
We lead in our Business.
Integrity and service are at the heart of everything we do.
Changi Service DNA: Personalised, Stress‑Free, Positively Surprising.
Employees empowered to 'Start Something Today' through innovation programmes (eg: Learnfest, 4D+1i week).
Modern, collaborative workspaces with open-concept desks and social pantries.
Terminal H initiatives: Fun Friday, art‑jamming, fitness & cooking classes.

Environment + Sustainability

2050

Net-Zero Aspiration

Aiming to achieve net-zero emissions by 2050.

20,000 tCO2e

Annual CO2E Reduction

Expansion of solar energy capacity to 43 MWp will reduce CO2 emissions by 20,000 t annually.

2022

Sustainable Aviation Fuel Piloted

First use of Sustainable Aviation Fuel (SAF) in 2022, reducing CO2 emissions for the Singapore Airlines Group.

3–5%

SAF Uptake Target

Target to achieve 3–5% SAF blended fuel usage by 2030 under the Civil Aviation Authority of Singapore (CAAS) levy.

100% electric baggage tractors since 2017; expanding airside charging network to 300+ by mid-2020s.
Transitioning all new airside light vehicles to electric from 2025; full fleet transition to cleaner energy by 2040.
Processed >250 t food waste via digesters across 4 terminals; Airport Carbon Accreditation Level 3.
Green Procurement: lifecycle-based P-Q-E scoring implemented since 2023; 80% wool carpets with reuse/recycling pathways.