Job Title: AI Engineer (Contract) Company: Quess Corp Limited Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities • Design and develop AI agents using modern agent frameworks. • Develop agent orchestration workflows and tool\-calling frameworks. • Implement prompt engineering, evaluation, reflection, and memory capabilities. • Develop machine learning models for: • Monitor model performance and continuously improve accuracy and relevance. AI Application Development • Implement monitoring, observability, and evaluation frameworks. • Data quality management • OCP (Openshift Platform) Business Manager, Recruitment \| Singapore Work Location: Singapore, Singapore Availability: Full time

Job Title: Machine Learning Backend Engineer Graduate (AML MLdev) - 2027 Start Company: ByteDance Job Category: Machine Learning Roles & Responsibilities: Responsibilities Team Introduction Responsibilities * Responsible for the computational performance optimization of ByteDance's recommendation mid\-platform models, conduct in\-depth tuning for inference/training bottlenecks in business scenarios, and improve computing utilization. * Lead the design and development of high\-performance kernel libraries, covering general\-purpose and business\-customized kernels, including general computation and communication parallelism, to ensure the ultimate performance of kernels. * Deeply cultivate model compilation optimization technology, and based on directions such as graph optimization, kernel fusion, computation scheduling, and code generation, build and improve the mid\-platform model compilation system. * Collaborate with the business and algorithm teams to identify performance issues, provide full stack performance analysis, bottleneck diagnosis, and optimization solutions, consolidate general\-purpose performance optimization components, toolchains, and platform capabilities, and empower multiple internal business. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. Work Location: Singapore Availability: Full time

Job Title: Senior Data Scientist (Computer Vision) Company: Razer Job Category: Machine Learning Roles & Responsibilities: Job Responsibilities This role will focus on designing and developing advanced computer vision solutions for interactive systems. The ideal candidate will have strong expertise in core computer vision techniques such as object detection, tracking, segmentation, image classification, and video analysis, along with experience extending these capabilities for richer semantic understanding. This role involves working closely with data engineers, game developers, and software engineers to build scalable, production\-ready vision systems that enable robust perception, automated analysis, and fast iteration in real\-world environments. Essential Duties And Responsibilities * Develop and implement computer vision algorithms for tasks such as object detection, tracking, action recognition, segmentation, image classification and video understanding. * Design and contribute to end\-to\-end computer vision systems to meet functional, performance, and scalability requirements. * Collaborate with data engineering team to design annotation schemas, labeling taxonomies, and data validation strategies for large\-scale image, video, and multimodal datasets supporting computer vision and multimodal model training. * Train, fine\-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries. * Evaluate the performance of computer vision models using appropriate metrics and benchmarks. * Optimize models for real\-time inference, edge deployment, or large\-scale serving, considering latency, memory, and throughput constraints. * Work closely with software engineering teams to support the integration and deployment of computer vision and multimodal models into production systems via APIs and messaging frameworks. * Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems. * Document design specifications, technical requirements, and implementation details for computer vision solutions. * Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation. * Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems. Work Location: Singapore Availability: Full time

Job Title: Principal Data Scientist / Algorithm Engineer Company: PhysicsX Job Category: Machine Learning Roles & Responsibilities: About Us Re\-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace \& defence, automotive, semiconductors, materials, and energy \& renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. This Role In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll Build The Foundations For Successful, Impactful Solutions By * Leading pre\-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. * Architecting and developing innovative deep learning models in combination with state\-of\-the\-art optimisation methods to predict and control the behaviour of physical systems. * Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. * Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. * Leading cross\-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. * Driving internal R\&D and product development, helping to refine models and identify new areas of application. * Mentoring junior team members and providing technical guidance to help them grow. * Leading open communication and presentations with both technical teams and customers, helping onboard users and co\-develop with customers. * Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2\-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Work Location: Singapore, Singapore Availability: Full time

Job Title: Senior Analyst - Data Science Company: American Express Job Category: Machine Learning Roles & Responsibilities: Job Description You will be part of an energetic A.I./Machine Learning cross\-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever\-growing strategic capabilities in the AI field. Role Overview As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting\-edge Generative AI solutions that address significant business challenges. This role focusses on hands\-on implementation, rapid prototyping, and collaboration with cross\-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions. Responsibilities * Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives. * Write clean, efficient, and well\-documented code for data processing, model training, and deployment. * Collaborate with the Technology team to integrate solutions into our existing systems and platforms. * Conduct experiments to evaluate model performance and optimize algorithms for scalability. * Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team. * Collaborate with the Engineering team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement. * Actively participate in technical discussions and forums across Amex About Us At American Express, our culture is built on a 175\-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world\-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well\-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. * Competitive base salaries * Bonus incentives * Support for financial\-well\-being and retirement * Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * Generous paid parental leave policies (depending on your location) * Free access to global on\-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities Work Location: Singapore, Singapore Availability: Full time

Job Title: Machine Learning Engineer Company: Julius Baer Job Category: Machine Learning Roles & Responsibilities: At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. General Description We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML \& AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle \- from concept to deployment \- and collaborate closely with cross\-functional teams to deliver high\-quality digital solutions. YOUR CHALLENGE Key Responsibilities KEY FEATURES and accountabilities * Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges. * Create multi\-agent systems and equip AI models with function/tool\-calling capabilities * Design and implement RAG systems to ground AI responses in enterprise data * Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability * Optimize agentic workflows and AI agents for production use cases * Testing and optimizing system prompts and few\-shot example to ensure accurate, consistent, and safe AI outputs * Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them * Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes * Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions Regulatory Responsibilities \&/OR Risk Management * Demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations. YOUR PROFILE Skills Requirements Personal and Social * Strong problem\-solving and analytical skills, with the ability to think critically and creatively about complex challenges * Excellent communication and collaboration skills, with the ability to work effectively with cross\-functional teams and stakeholders at all levels of the organization * Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high\-quality results on schedule * Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence * Attention to detail and commitment to producing high\-quality, reliable, and maintainable code Work Location: Singapore, Singapore Availability: Full time

Job Title: Risk Expert Data Scientist - Monee Company: Monee Job Category: Machine Learning Roles & Responsibilities: Job Description * Design and build scalable machine learning models using large\-scale transaction, behavioral, financial, and credit bureau data to support retail and SME lending, covering underwriting, credit limit management, risk\-based pricing, and portfolio optimization. * Extract actionable insights from complex datasets and apply both traditional statistical methods and advanced deep learning techniques to maximize model performance and business impact. * Partner closely with Strategy and Business teams to define problems, design modeling solutions, and convert insights into measurable outcomes. * Collaborate with Data Engineering to deploy models into production, enhance performance in live environments, and establish end\-to\-end monitoring and evaluation mechanisms. * Continuously explore state\-of\-the\-art methodologies including sequential modeling, graph learning, causal inference, and multi\-task learning to solve challenging risk\-decision problems. * Lead AI/LLM\-driven initiatives to enhance modeling efficiency, feature engineering, and advanced data mining capabilities. Work Location: Singapore, Singapore Availability: Full time

Job Title: Lead Data Scientist, Applied AI, SEAA, Company: CHANEL Job Category: Machine Learning Roles & Responsibilities: The Lead Data Scientist, Applied AI is SEAA’s senior technical authority for data science, machine learning and applied AI. The role turns complex business opportunities into analytically rigorous, scalable and responsible intelligence products that strengthen client understanding, business performance, foresight, judgement and action.  This is a player\-coach role for someone who combines deep technical credibility with commercial judgement, remains hands\-on in priority work, and can influence how leaders understand and act on evidence. Working across Southeast Asia and Australia, the role partners with business leaders, Insight \& Foresight, Data Platform and Engineering, Data Products and Stewardship, Data \& AI Enablement, Technology, Global teams and specialist partners. The role adapts its approach to different market contexts and levels of data maturity, while developing solutions that can scale across the region. Impact You Can Create In The Role: Lead the Data Science and Applied AI Practice * Set technical direction, standards and leading practices across data science, machine learning, GenAI and agentic AI * Remain hands\-on in priority work through problem framing, exploratory analysis, methodological design, prototyping, and code or model review * Guide practitioners and partners, uphold technical quality, transfer knowledge and help shape the future regional data science and applied AI capability Turn Questions into Decision Intelligence * Partner with business leaders to identify the decisions that matter and define the expected client, boutique, brand, operational or financial value * Choose the simplest robust method, challenging whether AI is the right response * Connect internal client and business evidence with external market, cultural and industry signals in partnership with Insight \& Foresight * Synthesise evidence into clear implications, uncertainties, trade\-offs and recommended action Build and Scale Advanced Analytics and Applied AI * Lead the design and validation of statistical, machine\-learning, GenAI and agentic solutions for priority use case * Establish rigorous baselines, evaluation methods, assumptions and limitations * Work with engineering and Technology teams to productionise, monitor and improve solutions on governed, scalable foundations * Create reusable methods, assets and AI components that accelerate delivery and reduce duplication Drive Adoption and Organisational Shift * Turn complex analysis into compelling, decision\-focused stories for executive, market and functional audiences * Champion the shift from retrospective reporting towards diagnosis, foresight, judgement and proactive action * Embed intelligence into business rhythms and use adoption, feedback and outcomes to improve, scale, pause or retire solutions Responsible AI and Continuous Improvement: * Ensure AI and data science solutions are developed and used responsibly, with appropriate attention to data privacy, explainability, model risk, security and governance * Stay close to emerging data science, GenAI and AI capabilities, assess relevance for Chanel use cases and continuously improve methods, components and delivery practices The Profile We Are Looking For * Strong technical judgement, with the depth to challenge methods and identify weak assumptions * A hands\-on mindset, with the willingness to work directly on priority use cases * Commercial and brand judgement, focused on decisions that matter for clients, boutiques and business performance * Clear and influential communication, turning complex evidence into a point of view and recommended action * A collaborative leadership style, raising the capability of colleagues and partners rather than becoming the sole expert Your Success Measures * Business and Brand Value: Priority solutions improve decision quality, client experience, growth, operational effectiveness or productivity * Adoption and Decision Impact: Trusted intelligence is embedded in relevant business routines, products and workflow * Analytical Quality and Reliability: Solutions meet agreed standards for validity, performance, explainability, usability and documentation * Speed to Value and Reuse: Reusable methods, assets and components accelerate future delivery * Capability Maturity: Practitioners and partners demonstrate stronger technical practice and increasing independence * Responsible AI: Solutions operate with appropriate oversight and controls, with no critical privacy, security or misuse incidents * Organisational Shift: Leaders increasingly connect internal and external intelligence and move from reporting towards foresight, judgement and action Technical Leadership and Production Fluency * Experience setting standards, reviewing technical work, mentoring practitioners and guiding partner delivery teams * Understanding of cloud AI and machine\-learning platforms, model lifecycle and MLOps/LLMOps * Ability to partner with engineering teams on deployment, monitoring and lifecycle management without duplicating platform ownership Work Location: Singapore, Singapore Availability: Full time

Job Title: Algorithm Engineer, SRA - Promotion (2027 Graduate) Company: Shopee Job Category: Machine Learning Roles & Responsibilities: Job Description * Work closely with the promotion product team, business partners, and internal stakeholders to identify marketplace growth challenges, uncover actionable insights, and deliver practical, scalable solutions based on large\-scale user and product data. * Collaborate with product and engineering teams to design and build end\-to\-end machine learning pipelines to power data\-driven decision\-making for promotions and campaign planning. * Apply cutting\-edge AI technologies such as LLMs, Agents, and RL to improve efficiency of building e\-commerce campaigns. * Work on core solutions related to personalized recommendations, promotion and voucher configuration optimization, campaign budget planning, and product demand forecasting. * Develop, iterate, and maintain machine learning models, including those based on deep learning, reinforcement learning, and multi\-armed bandit frameworks, applied in areas such as recommendation, search, and ads ranking. * Conduct rigorous online and offline evaluations, including A/B testing, to ensure model effectiveness and business impact. Work Location: Singapore, Singapore Availability: Full time

Job Title: Lead Machine Learning Engineer Company: Thoughtworks Job Category: Machine Learning Roles & Responsibilities: Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end\-to\-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high\-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands\-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. Job responsibilities * You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation * You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency * You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation * You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation * You will foster a collaborative environment, effectively leading your team through hands\-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy\-in and gaining trust along the way * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them * You are a proven leader with a track record of encouraging teammates in their professional development and relationships Learning \& Development There is no one\-size\-fits\-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30\+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self\-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Work Location: Singapore, Singapore Availability: Full time