525 AI Program Manager jobs in Singapore

We’re seeking a highly motivated Program Manager to lead the delivery of innovative Machine Learning (ML) and Generative AI (GenAI) initiatives. This role involves driving complex, cross-functional programs from concept to launch, with a focus on delivering high-impact, customer-facing features. The ideal candidate thrives in fast-paced environments, brings clarity to ambiguity, and is passionate about building scalable, intelligent solutions.

Key Responsibilities:

• Manage end-to-end delivery of ML and GenAI programs, including planning, execution, and release.
• Define scope, gather requirements, manage timelines, and allocate resources across multiple concurrent projects.
• Collaborate with cross-functional teams including Engineering
• Communicate program status, risks, and mitigation strategies to stakeholders at all levels.
• Ensure successful outcomes through proactive risk management and hands-on leadership.

Minimum Qualifications:

• Proven experience in program or technical product management within ML and GenAI domains.
• 5+ years of experience managing software development projects from inception to delivery.

Preferred Qualifications:

• Strong strategic thinking and problem-solving skills, particularly in AI/ML contexts.
• Excellent communication and presentation abilities, with experience engaging diverse stakeholders.
• Demonstrated success in delivering complex AI/ML projects under tight timelines.
• Experience working with globally distributed teams and cross-functional collaboration.
• Ability to synthesize ambiguous or incomplete information into clear, actionable plans.

We regret to inform that only shortlisted candidates will be notified / contacted.

Job Reference: Ivory Lee JN -

EA Registration No.: R , Ivory lee Hong

Allegis Group Singapore Pte Ltd, Company Reg No. N, EA License No. 10C4544

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.
#J-18808-Ljbffr

Senior Solution Architect - AI Development
Get AI-powered advice on this job and more exclusive features.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What You’ll Be Doing
Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions
Apply NVIDIA NIM Factory Pipeline to package optimized models (including LLM, VLM, Retriever, CV, OCR, etc.) into containers, providing standardized API access for on-prem or cloud deployment
Refine NIM tools for the community, aiding them in building high-performing NIMs
Build and implement agentic AI tailored to customer business scenarios using NIMs
Deliver technical projects, demos, and client support tasks as directed by the Solution Architecture Leadership
Provide technical support and mentorship to customers, facilitating the adoption and implementation of NVIDIA technologies and products
Collaborate with multi-functional teams to develop and broaden our AI solutions portfolio
Be an internal advocate for NVIDIA software and total solutions within the technical community
Position yourself as an inspiring leader in the industry by incorporating NVIDIA technology, especially inference services, into LHA, business partners, and the broader community and Assist in supporting the NVAIE team and driving NVAIE business in China
What We Need To See
7+ years of experience.
Bachelor's or equivalent experience in Computer Science, Artificial Intelligence, or a relevant field.
Proven experience in deploying and optimizing large language models. Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch)
Strong programming skills in Python or C++. Familiarity with mainstream inference engines (e.g., vLLM, SGLang)
Experience with DevOps/MLOps, including Docker, Git, and CI/CD practices
Excellent problem-solving skills and the ability to solve complex technical issues
Proven ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions
Experience in architectural build for field LLM project. Expertise in model optimization techniques, particularly using TensorRT
Knowledge of AI workflow development and implementation, and experience with cluster resource management tools. Familiarity with agile development methodologies
CUDA optimization experience and extensive experience in crafting and deploying large-scale HPC and enterprise computing systems
#J-18808-Ljbffr

At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry. We are looking for a motivated intern with experience in time-series machine learning to contribute to the development of our high-performance sensors.

Responsibilities

• Design and implement a machine learning model to map time-series data from support sensors to our quantum gravimeter data.

• Evaluate model performance on both synthetic and experimental datasets.

• Work closely with our multidisciplinary team to validate results and address challenges such as limited data coverage or overfitting.

• Visualise the performance of the model as well as intermediate outputs.

Qualifications

• Education background physics, engineering, or data science is highly desirable.

• Hands on experience with neural networks applicable to time-series data

• Strong Python programming skills: NumPy, SciPy, pandas, visualization packages

• Proficient with ML libraries such as PyTorch/TensorFlow/Keras, etc.

• Familiar with signal processing basics: Fourier transform, windowing, filtering

• Analytical mindset

What can we offer you

• A chance to learn about the intricacies of deep tech research, product development, and strategy in a high-growth startup
• Work on the cutting edge of quantum technology
• A book allowance to help you grow and collectively build the Atomionics library
• Board games and curry night

We're looking for an experienced Machine Learning Engineer to design, build, and deploy scalable ML solutions while ensuring compliance with AI governance and responsible AI practices. It covers the full ML lifecycle from data pipelines and ML Operations deployment to model monitoring and stakeholder collaboration in a global banking environment.

Client Details

Our client is a globally established financial institution with a major technology hub in Asia. They play a critical role in supporting international banking operations through the development of in-house applications and enterprise-level digital initiatives. With strong regional integration and a forward-looking tech strategy, they continue to enhance operational efficiency and drive innovation across global markets.

Description

Key Responsibilities:

• Partner with data scientists and business teams to define ML solutions and develop Proof of Concepts.
• Deploy and manage ML models in production using ML Operations best practices (CI/CD, monitoring, versioning).
• Build and maintain scalable data pipelines while ensuring model performance and reliability.
• Ensure compliance with AI governance, responsible AI practices, and audit requirements.
• Support data exploration, feature engineering, and model development when required.
• Automate retraining, testing, and monitoring to sustain long-term model accuracy.
• Document ML workflows and collaborate with DevOps, IT, and security teams for enterprise integration.

Profile

A successful candidate should have:

• Have Master's degree in AI/ML or data science with proven model design and development expertise.
• At least 6 years' experience in data science and ML, including at least 3 years in ML engineering roles.
• Hands-on experience across the full ML lifecycle: data preparation, model development, deployment, and monitoring.
• Strong Python programming skills and familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Proficiency in NoSQL databases (Graph DB experience a plus) and use of ML Operations tools (MLflow, Airflow, Kubeflow, etc.).
• Experience with cloud platforms (AWS, GCP, Azure), CI/CD pipelines, and containerization (Docker, Kubernetes).
• Knowledge of responsible AI practices, governance, compliance, and techniques like NLP, time series, and supervised/unsupervised learning.
• Strong problem-solving, communication, and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders in diverse environments.

Job Offer

Why this role?

• Opportunity to work on cutting-edge AI/ML projects within a global banking environment
• Exposure to enterprise-scale ML Operations practices and full ML lifecycle implementation
• Career growth through continuous learning and professional development
• Competitive compensation and attractive benefits package
• Collaborative and multicultural workplace culture

To apply online please click the 'Apply' button. For a confidential discussion about this role please contact Cheryl Sim (Lic No: R / EA No.: 18C9065) on Michael Page International Pte Limited, company number N (including Page Executive A) and Page Personnel Recruitment Pte Ltd (Registration Number: C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.

Responsibilities:

• Collaborate with data scientists and business stakeholders to define ML solutions and develop Proof of Concepts (PoCs).
• Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD).
• Build and maintain scalable data pipelines and monitor model performance.
• Ensure models comply with organizational AI policies, responsible AI practices, and audit requirements.
• Support data exploration, feature engineering, and occasional model building.
• Automate model retraining, testing, and monitoring to maintain long-term performance.
• Document ML workflows, governance checkpoints, and risk assessments.
• Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.

Requirements:

• Masters degree in AI, ML, or Data Science.
• 6+ years in data science/ML, with 3+ years in ML engineering.
• Experience across the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
• Strong Python programming skills (pandas, scikit-learn, TensorFlow/PyTorch).
• Experience with NoSQL databases; Graph database experience desirable.
• Hands-on with MLOps tools (MLflow, TFX, Airflow, Kubeflow, etc.).
• Familiarity with cloud platforms (GCP, AWS, Azure) for ML deployment.
• Solid knowledge of data science techniques (supervised/unsupervised learning, NLP, time series).
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Understanding of AI governance, model risk management, and regulatory requirements.
• Ability to communicate technical concepts to non-technical stakeholders.

Preferred:

• Experience with Responsible AI frameworks and bias/fairness testing.
• Exposure to feature stores, model registries, and data versioning.
• Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

To apply, please visit and search for Job Reference: 9396Y33Y

To learn more about this opportunity, please contact Yingying at

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltds PDPA and e2is PDPA .

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

• Model Development & Deployment

• Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

• Implement explainability and interpretability layers to meet regulatory expectations.

• Compliance & Risk Applications

• Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

• Automate compliance document processing, regulatory reporting, and policy interpretation.

• Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

• Systems Integration

• Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

• Ensure robustness, scalability, and security of deployed models in production environments.

• Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

• Research & Innovation

• Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

• Prototype tools for proactive risk detection and regulatory change monitoring.

• Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

Why Join Us?

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role

Key Responsibilities

• Model Selection & Optimization: Identify, experiment with, and fine-tune state-of-the-art machine learning models for tasks such as video analytics, object recognition/detection, fraud detection, and multimodal generative AI.
• Deep Learning & LLMs: Work with transformer architectures, foundation models, and generative AI to develop and enhance multimodal AI solutions.
• Computer Vision: Develop and optimize models for real-time object detection, tracking, and recognition in video streams, ensuring performance in diverse conditions.
• Fraud Detection and other anomaly detection: Design and implement machine learning models for anomaly detection and fraud prevention using advanced statistical and AI techniques.
• Data Engineering & Processing: Preprocess large datasets, design efficient pipelines for real-time and batch processing, and integrate multimodal data sources (images, text, audio, video).
• Deployment & Scalability: Deploy models in production using cloud-based or edge computing solutions, ensuring performance, scalability, and cost-efficiency.
• Research & Innovation: Stay updated on the latest AI research, evaluate emerging models, and propose enhancements to improve performance and robustness.
• Collaboration & Integration: Work closely with software engineers, data scientists, and domain experts to integrate AI models into end-user applications.

Requirements

• Degree in Computer Science, AI, Machine Learning, or a related field.
• 4 to 5 years of relevant experience
• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.
• Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.
• Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.
• Experience in AWS SageMaker for model training and deployment preferred.
• Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.
• Strong problem-solving and analytical thinking abilities.
• Ability to work in a fast-paced, research-driven environment and adapt to evolving challenges.
• Excellent communication skills for presenting findings and collaborating across teams.
• Experience working with autonomous systems, robotics, or edge AI is a plus.

Interested parties, please click the "Apply Now" below AND apply via the GO portal.

We regret that only shortlisted applicants would be notified.

Toh Wen Qi, Celeste | REG No : R

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

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(What the role is)

The Enterprise Knowledge Department (EKD) is seeking an innovative Generative AI Engineer to join our Data & Tech Solutions team. As part of the Economics & Knowledge Management Group, you'll work with a dynamic team passionate about revolutionising how we manage, discover, and generate data through cutting-edge AI solutions. You'll thrive in our fast-paced environment where adaptability and multi-tasking are essential.

(What you will be working on)

As a Generative AI Engineer, you will architect and deploy state-of-the-art generative AI models that transform how we create, process, and retrieve information. You will work at the intersection of large language models, content generation, and business automation, collaborating with cross-functional teams to deliver innovative solutions.

Key Responsibilities:

• Design and implement generative AI solutions that align with business requirements and use cases
• Develop and optimise large language models and generative AI architectures for text, code, and data generation
• Fine-tune and deploy foundation models while ensuring responsible AI practices and ethical considerations
• Create and maintain prompt engineering frameworks and evaluation metrics
• Build robust AI pipelines that integrate with existing systems and workflows
• Conduct experiments to improve model performance, efficiency, and output quality
• Implement safeguards and controls for AI-generated content
• Stay current with rapid developments in generative AI and implement emerging best practices
• Collaborate with stakeholders to identify opportunities for AI-driven process automation

(What we are looking for)

• Degree in Computer Science, AI/ML, or related field. Advanced degree is a plus
• Strong programming skills in Python, with experience in modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
• Hands-on experience with large language models (e.g., GPT family, BERT, T5)
• Understanding of transformer architectures, attention mechanisms, and prompt engineering
• Experience with model fine-tuning, few-shot learning, and prompt optimization
• Familiarity with AI deployment platforms and MLOps practices
• Knowledge of responsible AI principles and ethical considerations
• Proficiency with version control and collaborative development workflows
• Experience with API development and integration
• Strong problem-solving abilities and analytical mindset
• Excellent communication skills for technical and non-technical audiences
• Self-motivated with the ability to work independently

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.