AI Enablement Manager

Talents@Work

Singapore

Presencial

SGD 180 000 - 320 000

Tempo integral

há 15 horas
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Resumo da oferta

Talents@Work is seeking a strategic technologist to lead AI-enabled software initiatives at an enterprise scale in Singapore. The role combines deep technical leadership with hands-on software craftsmanship across AI models, data pipelines, and RESTful APIs, while driving quality, security, and scalable deployment.

You will mentor a diverse engineering team, collaborate with cross-functional stakeholders, and ensure delivery of robust, user-centric solutions that meet business goals and

Qualificações

  • Min 8 years designing and building software applications.
  • Bachelor level degree in CS or relevant field.
  • Strong background in cybersecurity solutions, IP telephony and data networking as a project administrator or manager.

Responsabilidades

  • Lead software product lifecycle processes and documentation.
  • Design, implement and deliver across the full app life cycle.
  • Oversee UI/UX, business rules, DB access, external interfaces and schema design.
  • Evaluate tools and processes for high-quality platforms.
  • Produce and maintain fully functional software; coach team.
  • Write unit and UI tests; optimise performance.
  • Collaborate with sales, project and product teams for new features.
  • Ensure quality standards across new and legacy apps.
  • Document architecture and system details for future maintenance.

Conhecimentos

Software architecture
AI/ML leadership
Cloud platforms
RESTful APIs
Python/SQL
Team leadership
Problem solving
Communication skills

Formação académica

BSc in Computer Science

Ferramentas

TensorFlow
PyTorch
SQL
CI/CD

Descrição da oferta de emprego

Lead the evolution of intelligent, user-centric software at the intersection of AI and enterprise-scale applications. 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:
Experience & Knowledge:
  • Min 8 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
  • 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.
  • Strong analytical and problem-solving skills, capable of managing multiple projects.
  • Ability to communicate complex technical concepts effectively to non-technical stakeholders.
  • Ability to work effectively in a collaborative, team-oriented environment.
  • 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
  • Excellent analytical skills with a good problem-solving attitude
  • Ability to perform in a team environment
  • Ability to work well under pressure and tight deadlines
Skills and Personality:
  • Excellent customer/vendor-facing and internal communication skills
  • Excellent written and verbal communication skills
  • Solid organisational skills, including attention to detail and multi-tasking skills
  • Highly motivated, result-oriented and dedicated person who initiates appropriate actions and strategies
  • Independent and can work without constant direction and close supervision.
  • Capable of functioning effectively in hectic and fast-paced work environments
  • Strong interest in keeping up-to-date with current technologies
  • Ability to motivate other team members to work towards a common goal
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