Top Machine Learning Jobs in Singapore

As a Senior Machine Learning Engineer, you will develop and deliver AI/ML services for web and mobile applications. You'll work with data scientists and engineers, optimize AI/ML architectures, and improve internal processes, while mentoring junior members and documenting models and outcomes.

As a Senior Machine Learning Engineer, you will lead projects in generative AI, develop scalable AI/ML applications, mentor junior team members, and consult with stakeholders on AI opportunities, while ensuring best practices in AI/ML deployment.

Assist in research and development of machine learning strategies for autonomous vehicles. Collaborate across teams on engineering projects while executing tasks and exploring innovative ideas. Ideal for candidates pursuing a Masters or PhD in relevant fields.

The intern will conduct research on machine learning for prediction and planning, work with large datasets, collaborate with teams to implement research into autonomous vehicles, and publish findings in papers and patents.

As a Senior Research Scientist, you will develop and deploy perception algorithms for autonomous vehicles, collaborating with teams to ensure high-quality data, optimize models, and enhance capabilities for object detection and tracking using deep learning technologies.

As an Applied Machine Learning Engineer Intern, you will develop deep learning algorithms for autonomous perception systems, work on data processes such as collection and annotation, and optimize models for deployment in autonomous vehicles.

The Senior Machine Learning Engineer will oversee the ML lifecycle by translating business use cases into ML requirements, leading the development and deployment of machine learning models. Responsibilities include providing technical guidance, conducting AI research, designing POCs, and developing ML pipelines while mentoring junior engineers.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

As a Lead Machine Learning Engineer, you'll spearhead the design and development of scalable ML systems, aligning technical strategies with organizational goals. You'll oversee technical feasibility for new applications, advocate for Responsible AI, guide team development, troubleshoot challenges, and apply MLOps principles to ensure impactful outcomes in machine learning projects.

As a Machine Learning Engineer II, you will create high-performance algorithms and data solutions using vast datasets. Your role involves developing data-driven applications, engaging with stakeholders to define solutions, leveraging machine learning techniques, and executing jobs in big data clusters while ensuring data privacy and quality.

As an AI/ML Data Scientist, you will analyze large datasets and develop AI/ML algorithms to solve complex business problems, focusing on fraud detection and data analytics. You'll collaborate with multiple teams to ensure compliance with privacy laws while using advanced machine learning techniques to enhance product offerings.

The Senior Software Engineer will develop and maintain automated pipelines for training and deploying machine learning models in the autonomous vehicle sector. Responsibilities include enhancing ML infrastructure, implementing metrics for model performance, and collaborating with ML teams for process improvements.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

As a Senior Machine Learning Engineer, you'll bridge the gap between data science and ad systems engineering, developing solutions for model experimentation, monitoring, and pipelines, while driving innovation and best practices in machine learning systems.

As a Software Engineer, you will develop end-to-end data analytics and MLOps solutions using open-source tools, collaborate with a distributed team, debug issues, and maintain cloud-deployed solutions for public and private infrastructures.