581 Neural Networks jobs in Singapore

Job Description

We are seeking a talented Machine Intelligence Engineer to join our team and contribute to the development of our system's intelligence layer. This role will be responsible for multimodal scene perception, operational and control intelligence.

This is an exciting opportunity for individuals with a strong background in AI/ML and computer vision technology expertise. The successful candidate will design and implement perception pipelines for real-time understanding of food and kitchen environments and develop AI/ML models for operational intelligence, decision-making, and control strategies.

We're on the hunt for a visionary AI Application Engineer to craft innovative, real-world solutions by seamlessly integrating AI platforms and large language models.

About the Role:

As an integral part of our AI development team, you'll create intelligent systems that elevate business processes and customer experiences.

Key Responsibilities:

• Develop and integrate cutting-edge AI applications using related technologies
• Collaborate with cross-functional teams to deliver impactful AI solutions
• Conduct research and testing to optimize AI model performance and interaction quality
• Support deployment, monitoring, and maintenance of AI systems
• Stay updated with the latest advancements in AI and natural language processing

Ideal Candidate Requirements:

• Recent Diploma or Graduate in Computer Science, Software Engineering, AI/ML, or related disciplines
• Good Aptitude
• Basic programming skills in Python, Java, or other relevant languages
• Strong problem-solving and analytical skills
• Good communication skills and a team-oriented mindset
• Passion for AI, innovation, and continuous learning

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We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
We are seeking an experienced and innovative AI Development Architect to lead the development of Lenovo’s AI technology platform. This role is responsible for designing and delivering core AI infrastructure components, including GenAI-based model development platforms, enterprise knowledge data platform, and intelligent agents. The ideal candidate will combine strong software engineering skills with deep expertise in GenAI technologies to drive scalable, intelligent solutions across Lenovo’s product ecosystem.
Key Responsibilities:
Product Development Technical Leadership: Lead the design and development of Lenovo’s AI technology platform, including GenAI-powered model training and inference pipelines, RAG-based knowledge systems, and intelligent agents.
Collaborate with product and other teams to integrate AI capabilities into enterprise products and services.
Evaluate and adopt leading GenAI frameworks, tools, and best practices to accelerate innovation.
Global Team Collaboration: Partner with global engineering teams in Malaysia, Singapore, and other locations to drive AI infrastructure development.
Establish standards and reusable components to ensure consistency and reusability across projects.
Mentor engineers and promote cross-functional collaboration in AI solution design.
Customer Business Support: Work with solution and product teams to define and deliver customer-specific AI solutions.
Participate in technical consulting, POCs, and real-world deployment of AI applications.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
8+ years of experience in enterprise software development, with at least 3 years of hands-on experience in AI/ML or GenAI platform architecture.
Strong programming proficiency in Java and Python, with solid experience in Spring and Spring Cloud frameworks.
Familiarity with relational databases such as PostgreSQL and MySQL.
Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD pipelines.
Solid understanding of DevOps practices and Scrum-based agile development.
In-depth knowledge of GenAI technologies including transformers, fine-tuning, inference, RAG (Retrieval-Augmented Generation), and agent frameworks.
Experience with GenAI tools such as LangChain, LangGraph, or similar open-source frameworks.
Demonstrated success in delivering real-world GenAI applications such as AI assistants, copilots, content generation tools, or knowledge bots.
Familiarity with LLM serving, vector databases, and open-source model integration is a strong plus.
Excellent communication and collaboration skills; fluent in English and experienced working in global, cross-functional teams.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
WD
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Overview

MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.

Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.

MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDs, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs' lifespan.

These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit

Responsibilities

This position is a technology leader responsible for driving execution and delivery of data, analytics, and AI initiatives in alignment with MINDSG Ltd's Vision and Mission. The deputy director will lead delivery and execution efforts across IT infrastructure, enterprise systems (including NetSuite and SAP), data analytics and artificial intelligence. This role ensures the execution of the set technological initiatives to improve organisational effectiveness and deliver better outcomes for clients, caregivers, volunteers, donors and staff.

Strategic Technology Leadership

• Support the development of a future-forward technology roadmap prioritizing key initiatives
• Advise on emerging technologies, risks, and digital opportunities to improve client experience, service delivery, and operational efficiency.
• Collaborate with Heads of Departments, Centers, and Corporate Services to roll out technology initiatives
• Lead digital transformation initiatives, including system integration

Enterprise Systems & Applications

• Directly lead the implementation, optimisation, continuous improvement, and integration of enterprise resource planning (ERP) systems, including NetSuite and/or SAP.
• Drive execution of projects to be delivered on time, within budget, and with measurable outcomes that support the organisation's strategic objectives.
• Drive deployment of ERP-related initiatives to finance, HR, and service teams to ensure system usability and productivity improvement.

Data, AI & Automation

• Support development and execute a data strategy, including data governance, architecture, quality, and accessibility across departments.
• Directly drive the execution of the development and adoption of:

1. Data integration, master data management (MDM), advanced data analytics, and data development practices.
2. Generative AI-related initiatives to ensure ethical use, enhance knowledge management, client communication, and productivity
3. Robotic Process Automation (RPA) to streamline repetitive processes such as reporting, compliance tracking, and client administration.

IT Operations & Security

• Manage and ensure initiatives/ projects meets IT policies, cybersecurity strategies, and disaster recovery plans stays updated and relevant.
• Maintain business continuity and disaster recovery protocols in relation to data development and AI
• Ensure compliance with regulatory requirements including PDPA, IMDA standards, and data ethics.

Digital Inclusion & Innovation

• Support promotion of digital equity by collaborating with frontline teams to design inclusive, accessible digital solutions.
• Drive test and scale tech pilots in collaboration with programme teams and external partners.
• Evaluate and select emerging technologies and service partners to enhance service access and outcomes.

Leadership & Capacity Building

• Hands-on leader and capable of building, leading, and developing a high-performing technology delivery team
• Able to effectively communicate and engage organization-wide stakeholders to build digital literacy
• Foster a culture of continuous learning and ethical innovation.

Stakeholder Engagement & Partnerships

• Collaborate with sector peers and start-ups to co-develop scalable social impact solutions.
• Manage external vendors, consultants, and technology partners to support delivery where necessary.
• Build strong working relationships with internal stakeholders to ensure alignment and smooth execution of projects.
• Support partnership with funders, tech vendors, and institutions to co-create solutions and secure technology grants.

Qualifications

Bachelor's degree in Information Systems, Computer Science, Engineering, or related field.

Other Information

• At least 8 years of technology delivery and project management experience
• Proven delivery experience with ERP systems (NetSuite and/or SAP will be a plus)
• Strong hands-on experience with the delivery of data engineering, cloud platforms, data analytics platforms, integration platforms/middleware, and AI
• Execution-driven with a strong bias for action and results. Pragmatic problem-solver who can adapt solutions to real-world social service contexts.
• Innovative, excellent analytical and critical thinking skills with a high attention to detail.
• Good communication and interpersonal skills in engaging and working in a multi teams environment
• Strong understanding of best technology practices and business processes.
• Passion for using technology to create social impact
• Knowledge of ERP integrations and automation tools.
• Experience with BI tools, SQL, Python, Power Platform, UiPath, or OpenAI APIs.
• Experience in social service, healthcare, or government sectors.
• Experience working in a technology consulting environment.
• Certifications such as PMP, ITIL, SAP, NetSuite Administrator/Professional, etc.

Spearhead the development and deployment of AI/ML solutions across the enterprise. Focus on high-performance applications with robust architectures.

• Create scalable pipelines, APIs, and microservices using frameworks like FastAPI for real-time and batch AI applications.
• Design effective prompt strategies for instruction-following, reasoning, and multi-turn conversations, focusing on RAG architectures for personalized domain-specific use cases.
• Select and tune embedding models to optimize semantic search and RAG performance.
• Oversee model evaluation, deployment, rollback strategies, and monitoring in production environments.
• Drive model fine-tuning efforts to customize LLMs for proprietary datasets and regulated industries.
• Establish testing frameworks covering functional testing, regression testing, hallucination detection, safety filters, and output quality assessment.
• Implement enterprise-grade observability, lineage tracking, and CI/CD automation using tools such as MLflow, Databricks, Azure ML, or Vertex AI.
• Lead continuous improvement initiatives based on telemetry, user feedback, and cost-performance trade-offs.

• Minimum 5 years' experience architecting and deploying AI/ML solutions in enterprise environments.
• Deep expertise in machine learning, deep learning, and generative AI technologies, including hands-on experience with frameworks like TensorFlow, PyTorch, and modern LLM orchestration tools.
• Strong familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices for end-to-end machine learning lifecycle management.
• Demonstrated leadership in managing agile, cross-functional teams and collaborating with stakeholders.
• Significant experience in prompt engineering and prompt design for LLMs and GenAI applications.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field; advanced degrees or certifications are advantageous.
• Experience with personalization, recommendation systems, or conversational AI is highly desirable.

We are seeking a seasoned Artificial Intelligence (AI) expert to spearhead the development of cutting-edge AI solutions.

As an AI Engineer, you will be responsible for designing, building, and deploying intelligent systems leveraging Large Language Models (LLMs), LangChain, LangGraph, and AI Agent frameworks. You will work closely with cross-functional teams to deliver innovative applications that drive business growth.

The ideal candidate will possess strong technical expertise, hands-on problem-solving skills, and excellent communication skills in English. Key qualifications include:

• 2-3 years of experience in AI/ML engineering or software development.
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Strong proficiency in Python and modern software engineering practices.
• Hands-on experience with LangChain, LangGraph, and AI Agent development.
• Solid understanding of LLMs and experience working with OpenAI APIs.
• Knowledge of Retrieval-Augmented Generation, prompt engineering, and AI workflow orchestration is a plus.
• Familiarity with cloud platforms (Azure, AWS, or GCP) is an advantage.

We are seeking a highly skilled AI engineer intern to contribute to the development of cutting-edge AI technologies.

The successful candidate will have the opportunity to work on various projects, including the implementation of large language models (LLMs) and the design of secure, scalable AI architectures.

• Implement LLM agents in Python using tools such as OpenAI, Anthropic, and LangChain/Guidance/LlamaIndex.
• Design and harden tool-invocation workflows for secure model data fetching and computation.
• Collaborate with quant researchers and engineers to integrate back-testing, risk, and analytics services into agent workflows.
• Contribute to the development of clean REST/WebSocket endpoints using FastAPI/Flask/Django.

• Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Strong programming skills in Python, including typing/pydantic, asyncio, packaging, and testing.
• Familiarity with LLM APIs and frameworks, as well as GPT, GPT Codex, Claude Code, or GitHub Copilot.
• Basic understanding of the Model Context Protocol (MCP) and experience with backend development in Python.
• Working knowledge of StarRocks and MySQL data modeling and query performance.

• Experience with observability, cost controls, and authN/authZ.

This position involves developing and deploying advanced AI solutions that enhance user experiences.

• Design and maintain machine learning models and pipelines.
• Collaborate with teams to integrate AI solutions into products and services.
• Deploy and monitor AI models in production environments.
• Optimize model performance, scalability, and reliability.
• Stay updated on emerging AI technologies and apply best practices.

• Machine Learning
• Natural Language Processing
• Computer Vision
• Python
• Java

Overview
MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.
Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.
MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDs, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs' lifespan.
These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit
Responsibilities
This position is a technology leader responsible for driving execution and delivery of data, analytics, and AI initiatives in alignment with MINDSG Ltd's Vision and Mission. The deputy director will lead delivery and execution efforts across IT infrastructure, enterprise systems (including NetSuite and SAP), data analytics and artificial intelligence. This role ensures the execution of the set technological initiatives to improve organisational effectiveness and deliver better outcomes for clients, caregivers, volunteers, donors and staff.
Strategic Technology Leadership
Support the development of a future-forward technology roadmap prioritizing key initiatives
Advise on emerging technologies, risks, and digital opportunities to improve client experience, service delivery, and operational efficiency.
Collaborate with Heads of Departments, Centers, and Corporate Services to roll out technology initiatives
Lead digital transformation initiatives, including system integration
Enterprise Systems & Applications
Directly lead the implementation, optimisation, continuous improvement, and integration of enterprise resource planning (ERP) systems, including NetSuite and/or SAP.
Drive execution of projects to be delivered on time, within budget, and with measurable outcomes that support the organisation's strategic objectives.
Drive deployment of ERP-related initiatives to finance, HR, and service teams to ensure system usability and productivity improvement.
Data, AI & Automation
Support development and execute a data strategy, including data governance, architecture, quality, and accessibility across departments.
Directly drive the execution of the development and adoption of:
Data integration, master data management (MDM), advanced data analytics, and data development practices.
Generative AI-related initiatives to ensure ethical use, enhance knowledge management, client communication, and productivity
Robotic Process Automation (RPA) to streamline repetitive processes such as reporting, compliance tracking, and client administration.
IT Operations & Security
Manage and ensure initiatives/ projects meets IT policies, cybersecurity strategies, and disaster recovery plans stays updated and relevant.
Maintain business continuity and disaster recovery protocols in relation to data development and AI
Ensure compliance with regulatory requirements including PDPA, IMDA standards, and data ethics.
Digital Inclusion & Innovation
Support promotion of digital equity by collaborating with frontline teams to design inclusive, accessible digital solutions.
Drive test and scale tech pilots in collaboration with programme teams and external partners.
Evaluate and select emerging technologies and service partners to enhance service access and outcomes.
Leadership & Capacity Building
Hands-on leader and capable of building, leading, and developing a high-performing technology delivery team
Able to effectively communicate and engage organization-wide stakeholders to build digital literacy
Foster a culture of continuous learning and ethical innovation.
Stakeholder Engagement & Partnerships
Collaborate with sector peers and start-ups to co-develop scalable social impact solutions.
Manage external vendors, consultants, and technology partners to support delivery where necessary.
Build strong working relationships with internal stakeholders to ensure alignment and smooth execution of projects.
Support partnership with funders, tech vendors, and institutions to co-create solutions and secure technology grants.
Qualifications
Bachelor's degree in Information Systems, Computer Science, Engineering, or related field.
Other Information
At least 8 years of technology delivery and project management experience
Proven delivery experience with ERP systems (NetSuite and/or SAP will be a plus)
Strong hands-on experience with the delivery of data engineering, cloud platforms, data analytics platforms, integration platforms/middleware, and AI
Execution-driven with a strong bias for action and results. Pragmatic problem-solver who can adapt solutions to real-world social service contexts.
Innovative, excellent analytical and critical thinking skills with a high attention to detail.
Good communication and interpersonal skills in engaging and working in a multi teams environment
Strong understanding of best technology practices and business processes.
Passion for using technology to create social impact
Knowledge of ERP integrations and automation tools.
Experience with BI tools, SQL, Python, Power Platform, UiPath, or OpenAI APIs.
Experience in social service, healthcare, or government sectors.
Experience working in a technology consulting environment.
Certifications such as PMP, ITIL, SAP, NetSuite Administrator/Professional, etc.
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