Top Machine Learning Jobs in Singapore

The Sr Solution Consultant will lead demonstrations of Workday's AI-powered recruiting solutions, collaborate with sales and clients to optimize talent acquisition processes, and facilitate strategic discussions to enhance hiring workflows.

Lead projects in the TMT sector, focusing on performance improvement, revenue growth, and cost reductions while engaging with clients to create measurable outcomes.

The Senior I4.0 Product Owner at Micron leads the development of smart manufacturing solutions, bridging business and engineering teams to enhance operations through data science and advanced analytics.

The Trading Operations Engineer monitors live trading, contributes to automated code, manages projects, upgrades systems, and resolves trading discrepancies.

As a GTM Program Manager at Moloco, you will lead vendor program management, optimize processes, and develop AI solutions while collaborating with cross-functional teams.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

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 role involves conducting research to identify predictive financial signals and contributing to quantitative models for market predictions.

As an Intern - Product Development Engineer, you will optimize NAND component test flows, develop analytical tools and models, perform data analysis, and enhance manufacturing processes.

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

The intern will assist in testing Generative AI tools, developing support services, and raising awareness of GenAI in the company.

The AI Business Development & Partnerships Manager will identify, create, and manage strategic partnerships enhancing Razer's AI capabilities, focusing on business growth, revenue generation, and internal collaboration.

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

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

As a Product Engineering Intern, you will collaborate on AI-driven analytics and solutions for NAND development to improve quality and efficiency.

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.

Lead the marketing intelligence strategy, building a high-performing analytics team to utilize advanced AI for data-driven marketing insights and ROI measurement.

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