Operations Manager (Up to $12,000) #NJN

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

Jessica Nguyen Huynh Thanh Truc

CEI Reg. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.