561 Lead Data Scientist 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.

Talent Link by e2i is a programme to match candidates to job opportunities offered by e2i’s Industry Partners. Applicable for Singaporeans and Singapore Permanent Residents only.

This job opportunity is from our Industry Partner who an IT MNC.

Job Descriptions

• Build industry-leading search & recommendation system; develop highly scalable classifiers and tools leveraging machine learning; work on cutting-edge research models in NLP.
• Understand product objectives and machine learning techniques; improve model and recommendation strategy.
• Understand user behavior and apply ML algorithms to optimize E-commerce conversion and production experience.
• Understand the diversity of Rakuten's business requirements, data, and assets; build cross-scenario technology backbones.
• Work with Rakuten cross-functional teams to grow Rakuten in important regional markets.

Job Requirements

• Minimum 1 year experience in one or more of the following areas: machine learning, search, recommendation systems, data mining, or other related areas.
• Bachelor or higher degree in computer science or a related technical discipline.
• Experience in large GPU cluster optimizing, Neural ranking model and NLP optimisation would be advantageous
• Solid experience with data structures or algorithms.
• Software development experience through hands-on coding in a general-purpose programming language.
• Strong communication and teamwork skills.
• Passion for technology and solving challenging problems.

• Seniority level Mid-Senior level

• Employment type Full-time

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

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Position: Machine Learning Integration Engineer

Employment Type: Full-Time

Key Responsibilities:

• Design and build scalable machine learning pipelines tailored for Generative AI and Agentic AI use cases.
• Integrate AI models into production environments using containerization platforms such as OpenShift , Docker , and Kubernetes .
• Collaborate with cross-functional teams to understand AI workflows and translate them into stable, production-ready engineering solutions.
• Create and maintain automation scripts using Python , Linux shell scripting , and other relevant tools.
• Manage seamless deployment and integration of AI services in cloud platforms , specifically AWS , Azure , and GCP .
• Implement and uphold network security protocols to protect AI models, systems, and data pipelines.
• Continuously monitor and improve system performance , scalability , and reliability .
• Contribute to and support CI/CD pipelines for AI model deployment and lifecycle management.

Required Qualifications:

• Bachelor's degree in Computer Science , Engineering , or a related field.
• Minimum of 4 years’ experience in Machine Learning engineering or AI system integration .
• Proven hands-on experience with OpenShift , Docker , and Kubernetes .
• Proficiency in cloud platforms , particularly AWS and GCP .
• Working knowledge of data and network security practices for AI systems.
• Solid understanding of Generative AI and Agentic AI principles.
• Experience in LLM prompt engineering or building RAG pipelines .
• Familiarity with API integration and microservices architecture .
• Strong proficiency in Python , both for machine learning and automation tasks.
• Advanced knowledge of Bash and Unix/Linux command-line tools .
• Experience with workflow orchestrators such as Ctrl-M .
• Familiarity with logging and monitoring tools , including Splunk and Geneos .
• Understanding of observability frameworks such as Langfuse , Elastic Stack , Grafana , and OpenTelemetry .

• 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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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

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

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack, ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. We're looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through, from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI. You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

Our data science team faces a big, exciting challenge: building machine learning models to improve the Fairsearch experience. What a user wants to see when they run a search, and what makes a piece of content better or more relevant than another – these are vital questions that inform how we rerank web pages. Sounds interesting? We'd love to hear from you.

Our motto is first do it, then do it right, then do it better.

Let’s start with some numbers:

• H100 SXM: 504 (SuperPod)
• H100 PCI: 128
• A100 SMX: 120
• CPU: 600K cores
• 350pb SSD
• 33pb HDD

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack, ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. We're looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through, from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Model Development
  • Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI. You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

Get AI-powered advice on this job and more exclusive features.

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

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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 .

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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.