Epicareer Might not Working Properly
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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Data Science Software Developer

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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. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning 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.Join our Cyber TeamWe are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.We are seeking a dynamic Data Science Software Developer who is passionate about software development and data science, capable of delivering high-quality solutions in complex environments.Responsibilities:Software Development & Implementation:
  • Design, develop, and deploy scalable and efficient data science software solutions.
  • Work closely with data scientists to integrate machine learning models into production systems.
  • Develop and optimize data pipelines for real-time and batch processing.
  • Write clean, maintainable, and efficient code following best software engineering practices.
System Architecture & Optimization:
  • Architect robust and scalable systems to support data-driven applications.
  • Implement efficient storage, retrieval, and processing mechanisms for large-scale datasets.
  • Optimize software performance, scalability, and reliability.
Collaboration & Cross-Functional Integration:
  • Work collaboratively with data scientists, engineers, and business teams to translate requirements into technical solutions.
  • Provide technical guidance and mentorship to junior developers.
  • Participate in code reviews, design discussions, and continuous improvement initiatives.
DevOps & Infrastructure Management:
  • Implement best practices for software deployment, automation, and CI/CD pipelines.
  • Ensure system security, data privacy, and compliance with industry standards.
Requirements:Experience:
  • 5+ years of professional experience in software development, preferably in data science or AI-related applications.
  • Proven experience in developing, deploying, and maintaining scalable software systems.
  • Experience in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.
Skills:
  • Proficiency in Python, with expertise in frameworks like Flask, FastAPI, or Django.
  • Strong understanding of data structures, algorithms, and software design principles.
  • Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus.
Software Development & Engineering:
  • Experience with API development, microservices, and containerization (Docker, Kubernetes).
  • Solid understanding of database management systems (Neo4j).
  • Familiarity with CI/CD pipelines, version control (Git), and automated testing frameworks.
Preferred Qualifications:
  • Experience in designing and deploying production-level machine learning applications.
  • Certifications in software engineering, or DevOps practices.
Work Location: Jurong EastFind out more:ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.
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. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning 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.Join our Cyber TeamWe are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.We are seeking a dynamic Data Science Software Developer who is passionate about software development and data science, capable of delivering high-quality solutions in complex environments.Responsibilities:Software Development & Implementation:
  • Design, develop, and deploy scalable and efficient data science software solutions.
  • Work closely with data scientists to integrate machine learning models into production systems.
  • Develop and optimize data pipelines for real-time and batch processing.
  • Write clean, maintainable, and efficient code following best software engineering practices.
System Architecture & Optimization:
  • Architect robust and scalable systems to support data-driven applications.
  • Implement efficient storage, retrieval, and processing mechanisms for large-scale datasets.
  • Optimize software performance, scalability, and reliability.
Collaboration & Cross-Functional Integration:
  • Work collaboratively with data scientists, engineers, and business teams to translate requirements into technical solutions.
  • Provide technical guidance and mentorship to junior developers.
  • Participate in code reviews, design discussions, and continuous improvement initiatives.
DevOps & Infrastructure Management:
  • Implement best practices for software deployment, automation, and CI/CD pipelines.
  • Ensure system security, data privacy, and compliance with industry standards.
Requirements:Experience:
  • 5+ years of professional experience in software development, preferably in data science or AI-related applications.
  • Proven experience in developing, deploying, and maintaining scalable software systems.
  • Experience in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.
Skills:
  • Proficiency in Python, with expertise in frameworks like Flask, FastAPI, or Django.
  • Strong understanding of data structures, algorithms, and software design principles.
  • Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus.
Software Development & Engineering:
  • Experience with API development, microservices, and containerization (Docker, Kubernetes).
  • Solid understanding of database management systems (Neo4j).
  • Familiarity with CI/CD pipelines, version control (Git), and automated testing frameworks.
Preferred Qualifications:
  • Experience in designing and deploying production-level machine learning applications.
  • Certifications in software engineering, or DevOps practices.
Work Location: Jurong EastFind out more:ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.