614 Data Scientist Roles jobs in Singapore

Company Overview:

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Engineer to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Minimum 1-2 years of experience with a master’s or bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to .

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

We seek a Machine Learning Engineer who is passionate about exploring new dimensions in GenAI and developing the next-generation agentic framework for AI-powered developer assistants. As a Machine Learning engineer at Sonar, you will develop, implement, and optimize ML workflows to enhance our products and services. You will work closely with software engineers, researchers, and other stakeholders to deliver robust, scalable, and innovative solutions to advance the state-of-the-art agentic workflow for autonomous program improvement.

• Work with the core research team to advance the state of the art for AI-driven SE.
• Design, develop, and deploy models and algorithms to tackle various challenges in automating software engineering tasks.
• Analyze and preprocess large datasets to build scalable and efficient ML pipelines.
• Optimize and fine-tune LLMs to improve performance and accuracy.
• Conduct experiments and perform rigorous validation to evaluate model effectiveness.
• Implement and maintain scalable, robust, and efficient production-level code.
• Stay up-to-date with the latest advancements in machine learning technologies.
• Develop and maintain documentation for AI models and systems.
• Participate in code reviews and contribute to the development of best practices in machine learning engineering.
• Collaborate with development teams to ensure seamless model deployment and integration into production systems.

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Proven experience as a Machine Learning Engineer or a similar role with a strong portfolio of projects, with at least two years of industry experience.
• Proficiency in programming languages such as Python, Java, or C/C++.
• Solid understanding of machine learning frameworks and libraries, such as TensorFlow, PyTorch, JAX, HuggingFace, scikit-learn, etc.
• Strong knowledge of algorithms, data structures, and software engineering principles.
• Familiarity with cloud platforms and services, such as AWS, Google Cloud Platform, or Azure is an advantage.
• Experience with deep learning models and natural language processing (NLP).
• Knowledge of MLOps practices and tools.
• Experience with data visualization tools and techniques.
• Familiarity with version control systems such as Git.
• Excellent debugging, optimization skills, communication and teamwork skills.

Why you will love it here:

Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

Machine Learning Engineer

In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.

Join us to do the best work of your career and make a profound social impact as a Machine Learning Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center .

.
What you’ll achieve

As a Machine Learning Engineer on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, working on a team of data scientists and embedded software engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, implementing algorithms, working with data scientists, data, and embedded SW engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will:

• Work with engineering teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client AI/ML frameworks, endpoint & real-time OSes, and embedded firmware ecosystems
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 5 years, MS + 3 years minimum, or PhD.
• Some experience developing for Microsoft (MS) Windows OS including client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph, and experience with embedded device development in at least one RTOS
• Solid knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C#/.NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Good communicator with the ability to understand analytical methods and algorithms with a solid understanding of Large/Small Language Models, Machine Learning, Deep Learning, and Generative AI.
• Experience working in software development or other cross-functional teams

Desirable Requirements

• Bachelor’s degree / Master’s degree, solid knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT)as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 30 October 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

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We are seeking an experienced Machine Learning Engineer to lead the development and integration of Generative and Agentic AI solutions within enterprise environments. This role involves close collaboration with data scientists, architects, and DevOps teams to design scalable AI infrastructure and ensure efficient deployment across cloud platforms.

Key Responsibilities:

• Develop and implement scalable ML pipelines for Generative and Agentic AI use cases
• Deploy AI models in production using container platforms such as Kubernetes and OpenShift
• Automate workflows using Python, Bash, and Linux-based tools
• Integrate AI solutions into cloud environments (AWS, GCP, Azure)
• Ensure system security, reliability, and performance monitoring
• Support CI/CD processes for AI model updates and deployment

Requirements:

• Minimum 7 years of experience in ML engineering or AI system integration
• Proficiency in Python, Bash, Kubernetes, and Docker
• Strong understanding of cloud infrastructure (AWS, GCP)
• Experience with Generative AI, LLM prompt engineering, and RAG pipelines
• Familiarity with observability and logging tools (e.g., Splunk, Grafana, Langfuse)
• Knowledge of APIs, microservices architecture, and workflow orchestrators (e.g., Ctrl-M)

Preferred Attributes:

• Strong communication and organizational skills
• Detail-oriented with a proactive, solution-driven mindset
• Experience in mentoring and collaborative team environments

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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South East Community Development Council, Singapore 1 week ago

Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

Downtown Core, Central Singapore Community Development Council, Singapore 2 weeks ago

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Machine Learning Engineer page is loadedMachine Learning Engineer Apply remote type Onsite locations Singapore, Singapore time type Full time posted on Posted Yesterday time left to apply End Date: October 30, 2025 (30+ days left to apply) job requisition id R253471

Machine Learning Engineer

In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.

Join us to do the best work of your career and make a profound social impact as a Machine Learning Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center .

.
What you’ll achieve

As a Machine Learning Engineer on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, working on a team of data scientists and embedded software engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, implementing algorithms, working with data scientists, data, and embedded SW engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will:

• Work with engineering teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client AI/ML frameworks, endpoint & real-time OSes, and embedded firmware ecosystems
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 5 years, MS + 3 years minimum, or PhD.
• Some experience developing for Microsoft (MS) Windows OS including client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph, and experience with embedded device development in at least one RTOS
• Solid knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C#/.NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Good communicator with the ability to understand analytical methods and algorithms with a solid understanding of Large/Small Language Models, Machine Learning, Deep Learning, and Generative AI.
• Experience working in software development or other cross-functional teams

Desirable Requirements

• Bachelor’s degree / Master’s degree, solid knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT)as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 30 October 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Dell Technologies helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the data era.

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Direct message the job poster from Nicoll Curtin

Are you a Senior Machine Learning Engineer who wants to push the boundaries of computer vision and AI in real-world identity verification? Here's a chance to join a leading tech unicorn in the AI and digital identity space.

What you’ll do:

• Build and optimize computer vision models to improve performance in face recognition, liveness detection, and image quality assessments across diverse user populations.
• Work directly with product managers, annotation teams, and engineers to translate real-world identity verification needs into scalable model training and deployment strategies.
• Deep-dive into model performance issues to identify gaps, retrain models, and incorporate new data pipelines, including video and unstructured image data.
• Stay ahead of AI trends with research on new algorithms and contribute to full-cycle development, from dataset curation and labeling to model rollout.
• Contribute to product-level decisions with a strong understanding of how algorithms impact user security, fraud prevention, and product usability.

What we’re looking for:

• Solid background in Python, PyTorch, and computer vision, with experience handling large-scale image or video datasets.
• Hands-on experience training and evaluating ML models in real-world use cases — including accuracy tuning, fraud detection, and deployment into production environments.
• Effective communicator who can document, share insights, and align work with cross-functional teams.
• Comfortable working in a fast-paced, collaborative team that values innovation and ownership.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries Software Development, Technology, Information and Media, and Financial Services

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

South East Community Development Council, Singapore 1 week ago

Johor Bahru, Johore, Malaysia 7 hours ago

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Role & Responsibilities

Driving Digital Transformation and Advanced Analytics Across Asia in Alignment with HQ

• Strengthen global product alignment and communication: Act as the key connector between Asia and HQ, facilitating regular syncs, aligning product priorities, and sharing updates and discoveries
• Explore business opportunities and translate them into digital use cases: Collaborate with stakeholders to understand business needs, translate them into AI and analytics solutions, and work with the central digital team to ensure consistent delivery and support across regions.
• Collaborate with stakeholders to identify business needs and explore opportunities for AI/ML and advanced analytics applications.
• Translate business needs into concrete use cases and contribute to the design of scalable digital solutions.
• Lead product discovery initiatives by engaging with investment professionals to uncover insights and define AI/ML product outcomes.
• Design, prototype, and develop end-to-end ML/AI solutions, ensuring they are scalable, maintainable, and production ready.
• Build cloud-native AI/ML applications using Python, with a strong focus on quality, scalability, and team collaboration.
• Deploy and manage infrastructure on Azure through Infrastructure as Code (IaC).
• Stay up to date with trends and innovations in ML, AI, and advanced analytics, and proactively integrate relevant advancements into solutions.
• Facilitate collaboration between cross-functional teams, including designers, front-end developers, and back-end engineers, throughout the product development lifecycle.
• Support the adoption of digital solutions across Asia by ensuring consistent service delivery in collaboration with the central digital team.

Education

• Master’s in quantitative or engineering field e.g. applied statistics, mathematics, physics, engineering, and computational finance

Requirements

• 1-3 years of a related position in intersection of product management, quantitative finance, ML/AI software development.
• Experience collaborating with users to identify business needs and define data-driven solutions
• Background in financial services
• Programming in object-oriented languages deploying ML/AI application, preferably Python
• Experience with gen-AI models though cloud services APIs (e.g. OpenAI, Anthropic)
• Familiar with MLOps practices and cloud deployment using Azure (IaC, Terraform, Databricks)
• Data engineering capabilities like using relational databases with SQL and experience with dbt, databricks, and the Azure tech stack
• Fluent in Danish and English language, oral and written

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• Bachelor’s degree in computer science, Engineering, or a related field.
• 6-10 years of experience in Machine Learning engineering or AI system integration.
• Bash and Unix/Linux command-line toolkit is essential.
• Hands-on experience with OpenShift, Docker, Kubernetes .
• Knowledge of cloud platforms (e.g., AWS ) is required.
• Exposure to data and network security and compliance in AI systems.
• Knowledge of API integration and microservices architecture.
• Proficiency in Python for automation and ML tasks.
• Knowledge of Workflow Orchestrator , such as Ctrl-M .
• Experience with Logging and Monitoring tools like Splunk and Geneos .
• Experience with Observability frameworks such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
• Understanding of Generative AI (e.g., prompt engineering, RAG pipelines) and Agentic AI concepts.
• Must have banking domain experience.

You will collaborate with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

Key Responsibilities:

• Develop and maintain automation scripts using Linux shell scripting , Python , or similar tools.
• Ensure smooth deployment and integration between cloud and on-premises environments (AWS).
• Integrate AI models into production using container platforms like OpenShift .
• Implement and maintain network security protocols to protect AI systems and data pipelines.
• Work with cross-functional teams to translate AI workflows into engineering solutions.
• Monitor and improve system performance , reliability , and scalability .
• Support CI/CD processes and infrastructure for AI model deployment and updates.

• Mid-Senior level

• Full-time

• Information Technology

• Banking

This job posting is active and available.

DevDat.ai is a leading IT development company specializing in AI-powered solutions and data-driven technologies. We are dedicated to transforming businesses through innovative technology, providing tailored solutions that meet our clients’ unique needs.

Position Overview :

GIS ML Engineer will assist in developing and integrating machine learning models with geographic information systems (GIS) for the analysis, visualization, and processing of spatial data. This role requires collaboration with cross-functional teams to deliver data-driven solutions, automate geospatial tasks, and provide insights from spatial datasets.

The Role

Key Responsibilities:

• Assist in the design, development, and deployment of GIS-based machine learning models.
• Perform geospatial data collection, cleaning, and preprocessing for analysis.
• Develop custom algorithms to analyze large spatial datasets using machine learning techniques.
• Collaborate with senior engineers and data scientists to improve and optimize model performance.
• Integrate machine learning outputs into GIS platforms for mapping, visualization, and analysis.
• Develop and maintain geospatial databases and support data integration efforts.
• Contribute to the creation of tools or scripts to automate geospatial tasks using Python, R, or other relevant languages.
• Prepare technical documentation and reports summarizing project findings and recommendations.
• Stay up to date with advancements in GIS, machine learning, and data science technologies.

Ideal Profile

Job Requirements:

• Bachelor’s degree in Geography, Computer Science, Data Science, or a related field. (Master’s degree is a plus)
• 3-5 years of experience with GIS software (e.g., QGIS, ArcGIS).
• Basic experience in machine learning, preferably using Python and popular libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Experience working with geospatial data formats (e.g., shapefiles, GeoJSON, raster, vector).
• Proficient in programming languages such as Python and JavaScript (experience with geospatial libraries like GDAL, Fiona, or Rasterio is a plus).
• Understanding of machine learning concepts such as supervised learning, unsupervised learning, and model evaluation.
• Familiarity with geospatial database management systems (PostGIS, SQL).
• Experience with cloud platforms like AWS, GCP, or Azure, especially for geospatial applications, is an advantage.
• Good understanding of spatial analysis, spatial statistics, and data visualization techniques.
• Strong analytical and problem-solving skills.
• Excellent communication skills and the ability to work in a team-oriented environment.
• Basic knowledge of front-end web mapping frameworks (e.g., Leaflet, OpenLayers) is an added advantage.

What's on Offer?

• Join a well known brand within IT Services
• Opportunity to make a positive impact
• Leadership Role