Job Description

Bukit Merah

$8000 to $12000

Require to have software background and experience in AI deployment

Lead the evolution of intelligent, user-centric software at the intersection of AI and enterprise-scale applications. As our Software and AI Manager, you'll architect, drive, and scale high-impact digital products, from ideation through deployment, while building and mentoring an engineering team. This is a strategic leadership role for a technologist who thrives on innovation, quality, and real-world impact.

Responsibilities

Software Engineering:

Develop and maintain the processes and documentation for Software Product Life Cycle
Design, Implement & Deliver across The Entire App Life Cycle - Requirements, Analysis, Design, Test, Deploy & Release & Support
Be responsible for UI/UX, business rules, database access layers, external interfaces, and actual database schema design
Evaluate and recommend tools, technologies and processes to ensure the highest quality product platform
Produce fully functional software applications writing clean code
Coach team to:

Write unit and UI tests to identify malfunctions

Troubleshoot and debug to optimise performance

Design interfaces to improve user experience

Design, develop and maintain real-time and batch data processing programs and scripts for the core system platforms

Liaise with sales, project and product teams to plan new features
Ensure new and legacy applications meet quality standards
Research and suggest new software products, applications and protocols
Document every aspect of an application or system as a reference for future maintenance and upgrades
Keep up-to-date on the latest technology developments
Hire and develop training plans for the team

AI:

Develop and optimise AI models by leveraging open-source and proprietary code.
Build scalable AI solutions using cloud services, data pipelines, and databases.
Implement NLP and LLMs and other AI frameworks.
Design, develop, and deploy RESTful APIs for AI applications.
Apply Retrieval Augmented Generation (RAG) techniques to enhance AI responses.
Implement prompt engineering techniques such as instruction design, template-based approaches, and fine-tuning strategies.
Ensure AI models comply with best practices, including CI/CD processes and test-driven development.
Conduct rigorous testing and evaluation of AI models, ensuring accuracy and efficiency.
Stay up-to-date with the latest AI/ML technologies and industry trends.
Work closely with stakeholders to translate business needs into AI-driven solutions.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.

Requirements

Minimum 10+ years experience designing and building software applications
BSc degree in Computer Science or relevant field
Strong technical background in European cybersecurity solutions, IP telephony and data networking industry as project administrator or other managerial position
Proven work experience as a Mobile & Web Portal developer and as Team Lead in software development projects
Demonstrable portfolio of released applications on the App store or the Android market
In-depth knowledge of programming language like Swift, Objective C and Java
Have Hybrid Mobile App design & development skills
Proven track record on Developing Hybrid Mobile App Interfaces
Experience on developing hybrid Mobile Applications for IOS, Android
Experience in integrating or even developing with third-party libraries and APIs (REST, SOAP)
Experience with software development lifecycle (SDLC) processes
Experience in Data modelling and database design
Familiar with Agile Methodologies
Familiar with OOP design principles
Familiar with RDBMS Design
Familiar with writing programming code using SQL & Python to create software, web applications and database processes additional experience in Node.js, TypeScript, C#, or Java is a plus.
Strong knowledge of machine learning concepts and deep learning, including neural networks, optimisation algorithms, and evaluation metrics.
Knowledge of SQL and data manipulation for AI applications.
Strong understanding of algorithms, data structures, and their applications in AI/ML.
Familiarity with CI/CD processes, test-driven development, and scalable AI deployment.
Hands-on experience with machine learning frameworks, such as TensorFlow and PyTorch, is a plus
Experience in building AI solutions on cloud platforms (AWS, Azure, GCP) is a plus