Top Machine Learning Jobs in Singapore

The AI Product Solution Architect will design AI solutions for enterprise clients, focusing on architecture design, technical consulting, and requirement insight.

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

Lead AI initiatives to deliver value, mentor a strong engineering team, and create thought leadership in AI while ensuring ethical standards.

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

The VP of Artificial Intelligence will lead the AI strategy, manage a world-class AI team, drive AI innovations, and ensure business impact across several key domains.

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

Lead the integration of NAND technology, develop strategic roadmaps, drive innovations, solve complex engineering problems, and collaborate with a global team.

As a Senior Machine Learning Engineer, you will optimize AI model efficiency and deployment, employing advanced techniques for scalable performance across environments.

Monitor and sustain process quality, review SPC charts, set up recipes, manage production job files, and ensure safety practices in fab operations.

The Developer Relations Manager for Quantum Computing will lead partnerships, drive SDK adoption, engage developers, and evangelize NVIDIA's quantum computing platform.

Intern will develop an AI-driven tool for root cause analysis, automating diagnosis of issues in semiconductor operations by analyzing incident data and performance patterns.

Intern will explore and apply Generative AI and Machine Learning technologies to enhance engineering workflows, developing solutions that optimize problem-solving and drive innovation.

Lead and develop a high-performing team to drive Package and HBM Product engineering activities. Collaborate across functions to improve quality, cost, and yield for HBM products. Responsibilities include yield improvement, debugging packaging issues, process conversion, and team mentorship.

As a Machine Learning Engineer, you will fine-tune language models, design evaluation frameworks, deploy AI features, and collaborate with various teams to ensure impactful AI solutions.

The role involves fine-tuning diffusion models, curating datasets, optimizing performance, and deploying AI features, while collaborating across teams to create impactful AI solutions.

The Applied AI Engineer will onboard customers, manage technical collaborations, deploy LLM applications, and improve product capabilities based on feedback.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The AI Engineer will leverage expertise in AI engineering to solve complex problems, drive transformation, and collaborate with clients and partners while continuously building skills.

Lead the development of advanced perception algorithms for autonomous vehicles, optimize real-time performance, mentor junior engineers, and integrate systems.

Lead AI use case intake and project management, oversee deployments, drive regional adoption, and manage vendor relationships. Foster a data-literate culture.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

The AI/ML Engineer will design, develop, and deploy machine learning models, collaborate with teams, and optimize algorithms while ensuring code quality.

Provide quantitative and analytical expertise to support trading strategies and decision-making in investment banking using advanced modelling techniques.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

This role involves designing, building, and deploying core components of ML infrastructure, ensuring high scalability and reliability in handling data for autonomous vehicles.