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Software Engineer, AI Job Opening In Singapore, Singapore – Now Hiring ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD.


Job description

Roles & Responsibilities

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries.

The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments.

Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion.

These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Business

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains.

We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact

This role reports to AI Center Of Excellence Lead and works with members within the AI team and other technical staffs to develop AI models for training and simulation purpose.

Be Part of Our Success

  • Collaborating with stakeholders to understand the business problem and demand.

  • Translate the requirement into AI/ML solutions
  • Evaluate feasibility and implication of different AI solution approaches.

  • Build or leverage of COTS machine learning models to train, validate and tune models for performance.

  • Deployment of models for testing and trial.

  • Detect and test accuracy of models and track performance overtime.

  • Documentation of model architecture, data source and decisions.

Qualities We Value

Programming & software engineering skills such as

  • Programming languages: python, C++
  • Framework: TensorFlow
  • Version Control: GitHub/GitLab

Understanding of ML such as

  • supervised, unsupervised and reinforcement learning
  • Neural networks such as CNNs, RNNs, Transformers

Understanding of MLOps and deployment

  • Model lifecycle management
  • CI/CD for ML systems
  • monitoring and logging

Our Commitment That Goes Beyond the Norm

  • An environment where you will be working on cutting-edge technologies and architectures.

  • Safe space where diverse perspectives are valued, and everyone's unique contributions are celebrated.

  • Meaningful work and projects that make a difference in people's lives.

  • A fun, passionate and collaborative workplace.

  • Competitive remuneration and comprehensive benefits.

Location: Ang Mo Kio

Tell employers what skills you have
TensorFlow
Machine Learning
Version Control
Defence
Public Safety
Aerospace
Software Engineering
Strategy
Logging
Value Creation
Python
C++

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Software Engineer, AI Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Software Engineer, AI Job Success

ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD. interview tips for Software Engineer, AI

Here are some tips to help you prepare for and ace your Software Engineer, AI job interview:

Before the Interview:

Research: Learn about the ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Software Engineer, AI interview at ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD.'s products or services and be prepared to discuss how you can contribute to their success.

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