Software Engineer (Data Science)(DSC|SN) at ST Engineering Marine Ltd

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Flask, FastAPI, Django, TensorFlow, PyTorch, Scikit-learn, API Development, Microservices, Docker, Kubernetes, Neo4j, Git, CI/CD, Data Pipelines, Machine Learning

Industry

Engineering Services

Description

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. Join our Cyber Team We 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 infrastructure, 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 are looking for a dynamic individual who is passionate about software development and data science, capable of delivering high-quality solutions in complex environments. Job 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 East Find out more: https://www.stengg.com/cybersecurity 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves designing, developing, and deploying scalable data science software solutions, integrating machine learning models into production systems, and optimizing data pipelines for real-time and batch processing. Responsibilities also include architecting robust systems, implementing efficient data storage, and participating in code reviews and continuous improvement initiatives.