Top Machine Learning Jobs in Singapore

The Research Scientist will focus on developing large-scale language models, reinforcement learning techniques, and data engineering for AI systems, aiming for impactful research outcomes.

Lead a team in defect analysis technology development, focusing on identifying issues and collaborating across teams to enhance inspection processes.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

The Product Manager will lead product development, define vision and roadmap, manage engineering activities, and collaborate with various stakeholders.

As a Senior Business Intelligence Analyst, you will drive Smart Manufacturing solutions through AI/ML, gather data, and improve output performance, leading projects globally.

The Machine Learning Researcher will design and deploy deep learning models for trading systems, analyze data, and optimize model performance.

The Product Sales Specialist manages client relationships, provides technical expertise, and creates solutions tailored to customer needs using Dell’s datacenter innovations.

As a Senior/Principal Machine Learning Engineer, you will develop ML models for self-driving vehicles, mentor others, and tackle complex technical challenges.

The Senior Business Intelligence Analyst will gather and analyze data for improving wafer output performance, lead projects, and integrate AI solutions.

We are seeking a Director/VP of Sales for the USA market to develop sales strategies, lead a team, drive revenue, and build customer relationships in the cybersecurity sector.

The Senior AI Engineer will solve complex problems using AI, build client relationships, and contribute to a top-tier AI team with at least 7 years of relevant experience.

As an Industry 4.0 Analyst, you will implement AI-based solutions for cost reduction, collaborate with data scientists and engineers, and quantify operational impacts.

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

The Head of AI/ML Solutions Enablement manages AI capabilities in APAC, translating business needs into technical specifications, driving adoption, and ensuring measurable business value while promoting AI literacy across teams.

The role involves designing ML pipelines, integrating AI models into production, collaborating on AI workflows, automating tasks, and ensuring system performance and security in cloud environments.

The Product Manager will lead the strategy and execution of cybersecurity hardware products, blending technical know-how with commercial insights. Responsibilities include product strategy development, collaborating with teams, market engagement, and leveraging AI for product enhancement.

The Applied AI Engineer will deploy Mistral AI products to customers, collaborate on complex projects, and enhance product capabilities, requiring strong AI expertise.

The Head of AI/ML Capabilities leads AI and machine learning strategies, overseeing development, deployment, and performance of AI/ML solutions to enhance business outcomes. This role involves managing a high-performing team, collaborating across departments, and advocating for innovative data-driven solutions while ensuring compliance and ethical guidelines are met.

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

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 IT Business Analyst, you'll gather and analyze business requirements for anti-fraud systems, collaborate with various departments, manage project activities, and stay updated on industry trends.

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