Engineer/ Senior Engineer/ Principal Engineer - Singapore - DSTA - Defence Science & Technology Agency

DSTA - Defence Science & Technology Agency

Verified Company

Singapore

1 week ago

Posted by:

Wei Jie

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Description

Job no:

Work type:
Permanent

Location:
DSTA Singapore

Categories:

NA
The Defence Science and Technology Agency (DSTA) brings you to the forefront of cybersecurity, digital transformation and engineering.

From working on software development and systems integration to unmanned technologies and artificial intelligence, you can have an impact on Singapore's defence.

Achieve your fullest potential with opportunities to build your technical expertise and hone your competencies in diverse domains.

You can also expect an immersive learning experience, where you will work with bright minds and collaborate with global industry experts.

DSTA is recognised as one of the top 10 employers in the Engineering & IT sector, where our engineers and IT professionals work alongside procurement specialists to deliver state-of-the-art capabilities for Singapore's peace and security.

Internship opportunities and a meaningful career await you.

Opportunity

We are looking for an individual to join us in our Digital Hub Programme Centre where you will participate in AI Engineering initiatives.

The role will require you to execute the AI Engineering roadmap through research, experimentation and implementation of

MLOps (CI/CD/CT) pipelines and tools
Supporting infrastructure for AI development and deployment, and
Governing processes and release criteria

Some examples of your work could include,

Design and build pipelining tools and processes to automate the MLOps process
Research, design and build MLspecific testing and remediation techniques (E.g. Unit tests, Robustness tests) for the AI community
Research, design, develop and optimize domain specific ML deployment, monitoring and retraining techniques for the AI community

Requirements:

Tertiary qualification in Computer Science, Information Systems, Computer Engineering, or related fields
1 year of experience in MLOps domain/ area preferred.
Excited to gain knowledge in a new domain
Team player with good communication skills
Passionate and selfmotivated
Required skills
ML development
Basic ML tasks (E.g. Object Detection as a ML CV task).
Modular coding for Machine Learning (Pipelines)
Data preprocessing and ML model training using any ML frameworks
Software Engineering and Infrastructure.
Programming: Python
Scripting: Bash
Linux Operating Systems (E.g. Debian, RHEL)
Version control (E.g. git)
Containerization and Container Orchestration (E.g. Docker, Kubernetes.)
Preferred skills (Previous experience would be advantageous)
MLOps
Data Versioning
Experiment Orchestration (E.g. MLOps E2E Tools)
Model Versioning
Model Serving (E.g. Inference engines)
Unit Testing (E.g. Directional Expectation Tests, Invariance Testing)
Robustness Testing (E.g. Adversarial AI, Brittleness, Explainability)
Model/Data Monitoring pipelines
Model retraining pipelines
Labeling (E.g. multitype labelling tools)
Cloud Infrastructure
Hyperconverged Infrastructure (HCI)
Networking
Storage (E.g. S3)
DevOps
Automation (E.g. Jenkins)
Monitoring dashboards (E.g. Prometheus/Grafana.)
Messaging (E.g. Kafka.)