550 Machine Learning Specialists jobs in Singapore

Date live:

09/03/2025

Business Area:

Cross Markets

Area of Expertise:

Markets

Contract:

Permanent

Reference Code:

JR

Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you'll play a crucial role in building an AI/ML team and we're doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We're looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You'll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You'll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.

This role requires these essential skills/ qualifications:

• Master's degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
• A proven record of a strong foundation in Machine Learning, data science, and software engineering.
• Proven experience with Python
• Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
• Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective.
• Champions a collaborative mindset and a drive to learn, iterate, and improve.
• Publications or open-source contributions? Even better—we value original thinking.

Desirable skills and qualifications

• Experience in quant trading (especially eFX) or alpha research.
• Large Language Models (LLM) expertise.
• Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities

• Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
• Working closely with sales teams to identify clients' needs and develop customised solutions.
• In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
• Provide front office infrastructure support though ownership and maintenance of analytical libraries.
• Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Overview
Join to apply for the
Artificial Intelligence/Machine Learning Modeller- Global Markets
role at
Barclays . Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you’ll play a crucial role in building an AI/ML team and we’re doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We’re looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You’ll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You’ll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.
This Role Requires These Essential Skills/ Qualifications
Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
A proven record of a strong foundation in Machine Learning, data science, and software engineering.
Proven experience with Python
Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
Demonstrated success and passion for crafting solutions that are technically rigorous and operationally effective.
Champions a collaborative mindset and a drive to learn, iterate, and improve.
Publications or open-source contributions are valued—we value original thinking.
Desirable Skills And Qualifications
Experience in quant trading (especially eFX) or alpha research.
Large Language Models (LLM) expertise.
Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.
You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.
Purpose of the role
To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.
Accountabilities
Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
Working closely with sales teams to identify clients' needs and develop customised solutions.
In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
Provide front office infrastructure support through ownership and maintenance of analytical libraries.
Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Assistant Vice President Expectations
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
People Leadership behaviours: Listen, Inspire, Align, Develop others.
For individual contributors, lead collaborative assignments and guide team members through structured assignments, identifying the need for inclusion of other areas of specialisation to complete assignments.
Consult on complex issues; provide advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Collaborate with other areas of work to keep up to speed with business activity and strategy.
Engage in complex analysis of data from multiple sources of information to solve problems creatively and effectively.
Communicate complex information to various audiences; influence stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship and the Barclays Mindset – to Empower, Challenge and Drive.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Banking and Financial Services
Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.
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Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities

• Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
• Working closely with sales teams to identify clients' needs and develop customised solutions.
• In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
• Provide front office infrastructure support though ownership and maintenance of analytical libraries.
• Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you’ll play a crucial role in building an AI/ML team and we’re doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We’re looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You’ll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You’ll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.

This role requires these essential skills/ qualifications:

• Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
• A proven record of a strong foundation in Machine Learning, data science, and software engineering.
• Proven experience with Python
• Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
• Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective.
• Champions a collaborative mindset and a drive to learn, iterate, and improve.
• Publications or open-source contributions? Even better—we value original thinking.

Desirable skills and qualifications

• Experience in quant trading (especially eFX) or alpha research.
• Large Language Models (LLM) expertise.
• Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

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

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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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School of Infocomm - Lecturer (Artificial Intelligence/Machine Learning)
Join to apply for the School of Infocomm - Lecturer (Artificial Intelligence/Machine Learning) role at Republic Polytechnic
The school is looking for dynamic individuals who are motivated and able to work effectively in a team environment.
What you will be working on
As a Lecturer in Artificial Intelligence (AI), you will shape the next generation of AI professionals. This role contributes to a field transforming industries. You will impart knowledge in AI, machine learning (ML), and deep learning (DL), covering how machines simulate human intelligence in learning, comprehension, creativity, and problem-solving. Professionals fitting various AI job descriptions are in high demand across sectors including IT, education, finance, and healthcare.
Responsibilities
Designing, developing, and delivering curriculum, as well as supervising practical projects.
Teaching AI, ML, DL, and generative AI. This includes:
Teaching AI models to learn from data for applications like chatbots, self-driving cars, and voice recognition.
Guiding students in building data science infrastructure, data preprocessing, and cleansing.
Planning for deployment into production environments.
Supervising projects involving speech recognition, data mining, and advanced robotics.
Collaborating with experts and communicating AI utility to diverse audiences.
What we are looking for
We seek a skilled, innovative professional passionate about AI/ML, dedicated to fostering student career growth and establishing strong industry connections.
Education: A Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A Master’s or Ph.D. in Artificial Intelligence, Machine Learning, or Data Science is highly preferred.
Experience: At least 1-year relevant experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar AI development role is crucial.
Certifications: Relevant AI/ML certifications (e.g., Microsoft Certified: Azure AI Fundamentals, AWS Certified Machine Learning, Google AI Certification) are beneficial.
Key Skills
Technical Proficiency: Strong grasp of programming languages such as Python, Flutter, and C++; good knowledge of linear algebra, calculus, statistics, and probability. Extensive experience with ML frameworks like PyTorch, TensorFlow, and Keras, and various ML/deep learning algorithms. Proficiency in cloud platforms for AI deployment (AWS, Azure, Google Cloud), and strong understanding of data modeling, mining, and processing.
Soft Skills: Excellent problem-solving and analytical skills; strong communication and collaboration abilities to work effectively in teams; adaptability to new AI developments; and understanding of AI ethics, data privacy, and bias.
Genuine passion to share knowledge, mentor and interact with youths and adult learners, with strong pastoral and interpersonal skills.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Education and Training
Industries: Higher Education
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