612 Machine Learning Engineer jobs in Singapore

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You will work with our software product development team in creating world-class information security products and solutions.

Responsibilities

• Research and implement high performance AI/ML (Artificial Intelligence and Machine Learning) algorithms, models and pipelines
• Collaborate with engineers to collect and process data, as well as to integrate AI/ML components within the SecureAge product suite
• Optimise and test AI/ML components to validate their efficacy and robustness in production environments
• Propose innovative solutions that consider the broader context in which AI/ML is applied
• Be a subject matter expert in the AI/ML domain, staying up to date on the latest advancements
  
  

• Bachelor in Computer Science or related STEM field
• Strong Python programming skills
• Prior experience with solving real-world problems using ML frameworks (PyTorch, TensorFlow etc.)
• Resourceful and independent in performing research and solving problems
• Familiarity with software architecture and confidence with computer and operating system fundamentals
• Naturally curious and committed to continuous learning in a fast-evolving technical landscape
• Excellent communication and collaboration skills

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Computer and Network Security

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South East Community Development Council, Singapore 6 days ago

Queenstown, Central Singapore Community Development Council, Singapore 6 months 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

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.

Job Title: Lead Machine Learning Engineer

Employment Type: Full-Time

We’re hiring a Lead Machine Learning Engineer to drive the integration of Generative AI and Agentic AI into enterprise systems. You’ll work closely with cross-functional teams to design scalable ML pipelines, deploy AI models, and optimize system performance in secure, cloud-based environments.

Key Responsibilities

• Build and deploy ML pipelines for Generative and Agentic AI applications.
• Integrate AI solutions into containerized environments (OpenShift, Kubernetes).
• Automate workflows using Python and shell scripting.
• Manage cloud infrastructure (AWS, GCP) and ensure security compliance.
• Support CI/CD and observability for AI systems (Langfuse, Grafana, etc.).

Required Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• 7+ years in ML engineering or AI system integration .
• Strong Python and Bash skills.
• Hands-on with OpenShift, Kubernetes, Docker .
• Experience with cloud platforms (AWS/GCP) .
• Familiar with LLMs, RAG pipelines, API integration, and microservices.
• Exposure to security, logging, monitoring (Splunk, Geneos, Ctrl-M, etc.).
• Clear communicator and visual thinker.
• Detail-oriented, organized, and proactive.
• Skilled in mentorship and team collaboration.

• Seniority level Mid-Senior level

• Employment type Full-time

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

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

Downtown Core, Central Singapore Community Development Council, Singapore 4 weeks ago

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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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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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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.

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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.

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.

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.