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

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

The Senior Solution Consultant at Genesys will use technical expertise to develop solutions, engage customers, and facilitate presales efforts. This role requires understanding customer needs, creating tailored demos, and working autonomously within a team to drive business growth through technological solutions.

Lead complex global supply chain transformation projects, focusing on AI-enabled innovation, automation, and integration. Collaborate across functions to enhance operations and deliver scalable solutions.

The Principal Specialist will lead digital manufacturing product teams, translating user needs into machine learning solutions, managing project timelines, and ensuring successful product delivery. Responsibilities include developing frameworks, metrics, and resource management while enhancing digital manufacturing capabilities.

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 AWS Solutions Specialist will drive AWS-centric opportunities, support sales teams, and ensure seamless handover to delivery teams while building relationships with channel partners and vendors.

The Analytics Senior Product Owner oversees product vision, collaborates with stakeholders, manages the product backlog, and drives analytics solutions for business challenges.

The AI Lead, Infrastructure + Energy will integrate and scale AI solutions, drive innovation, and align business objectives with AI strategy to maximize value. Responsibilities include leading AI strategy, fostering innovation, and developing capabilities across the organization.

The position involves developing deep learning algorithms for genomic data interpretation, collaborating with partners, and publishing research findings.

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.

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 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 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 Machine Learning Principal Engineer will develop scalable machine learning models and collaborate with stakeholders to ensure product compliance with global regulations.

The Partner Development Manager develops partner strategies to drive revenue growth, manages partner relationships, and collaborates with sales teams on opportunities.

The ML Platform Engineer will develop and maintain the MLOps platform for AI, supporting Data Science and ML teams in model deployment and monitoring.

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.