Top Machine Learning Jobs in Singapore

As an Industry 4.0 Analyst, you will implement smart manufacturing solutions using AI and data science while collaborating with global teams and tracking operational impacts.

The Senior Business Intelligence Analyst will develop smart manufacturing solutions using AI and machine learning to enhance efficiency and performance.

The internship involves applying AI and data analytics to improve power characterization reporting, using techniques like machine learning on Google Cloud data.

As a Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

The Computer Vision Engineer will develop and implement algorithms for object detection and image classification, integrate models into software systems, and evaluate performance metrics while staying updated on technological advancements.

The role involves developing analytics solutions using AI, collaborating with analysts, integrating data for analysis, and enhancing Generative AI applications. Candidates will create dashboards and manage projects based on business objectives.

The role involves developing applications using data analytics and machine learning, managing projects, and collaborating with stakeholders. Candidates should have programming skills in Python and SQL, and knowledge in data analytics.

The AI and ML Solution Architect designs and implements AI/ML solutions, collaborates with teams, and improves product performance through advanced algorithms.

NVIDIA seeks a Research Scientist New Graduate in ML Systems to innovate hardware, software, and infrastructure for AI, focusing on system scalability and efficiency.

The Senior Machine Learning Engineer will lead the deployment of ML models, mentor engineers, and influence product decisions, while collaborating directly with customers on-site to solve engineering challenges across various industries.

The Principal Machine Learning Engineer will lead efforts in deploying ML models, architecting data systems, mentoring teams, and driving project scoping with a strong focus on customer collaboration.

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 Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.

The Content Analyst conducts research and analyzes data to aid product innovation, ensuring data quality and defining content logic for projects.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Regional Business Actuary will drive growth in GrabInsure by managing product pricing, data analysis, risk assessment, and partnerships while ensuring compliance and reporting.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

Develop and deploy product-disposition solutions and algorithms using data analysis and machine learning to improve quality and reliability.

Lead the engineering team for a consumer AI product by building core infrastructure, improving engineering culture, and aligning AI initiatives with business strategies.

In this leadership role, you will design and implement AI systems, build ML pipelines, optimize performance, and mentor engineers.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

As a Robotics Autonomy Software Engineer, you will develop algorithms, mentor juniors, and integrate robotics software while ensuring mission-critical safety for underwater inspections.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.