Top Machine Learning Jobs in Singapore

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

The Data Scientist will work on Privacy Enhancing Technologies using Python and various ML frameworks, focusing on experimentation and applied research in a collaborative team environment.

Lead the design and implementation of an MLOps platform focusing on generative AI solutions. Manage a team of machine learning engineers, optimize performance, and ensure scalable, efficient systems for AI-driven products.

The Senior ML Ops Engineer develops and optimizes ML data pipelines, collaborates with cross-functional teams, benchmarks model performance, and standardizes ML model management.

Jump Trading is seeking an intern to apply machine learning in quantitative research. The candidate will implement projects from concept to production, collaborating with trading teams to improve model design and tools.

Develop and deploy machine learning models for perception systems in autonomous vehicles, optimize training, and collaborate on scalable solutions.

Develop and optimize large-scale pre-training language models, implement advanced LLM techniques, and collaborate with teams for deployment solutions.

Lead a cross-functional team to develop and implement AI products, focusing on Large Language Models and enhancing client solutions.

The Machine Learning Engineer will develop and deploy AI solutions for client devices, integrate AI applications, and optimize machine learning models. Collaborating with data scientists and engineers, the role requires applied data science experience.

The role involves designing and implementing machine learning models, optimizing performance, and collaborating with cross-functional teams to enhance products with AI solutions.

Design and implement machine learning models, optimize them, monitor performance, and collaborate with teams to enhance products and services.

Lead the design and optimization of AI model inference systems, guiding teams and collaborating with cross-functional groups to improve performance, cost efficiency, and scalability.

Design and implement large-scale simulation platforms utilizing machine learning and advanced modeling to enhance marketplace efficiency and driver opportunities at Grab.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Machine Learning Engineer will design, develop, and deploy machine learning models while collaborating with data scientists and engineers to enhance product capabilities and monitor model performance.

As a Campus M1/M2 Quantitative Researcher Intern, you'll conduct research, develop predictive models, and gain hands-on trading and programming experience within financial markets.

Assist in building predictive models and developing algorithms for automated trading while participating in training in quant research and software development.