317 AI Solutions jobs in Singapore

The Data Centre, Cloud and AI Infrastructure team is responsible for delivering cutting-edge solutions that transform customer businesses using Cisco technology. As a Senior Solutions Engineer (SE) - AI infrastructure, you will lead the technical sales of our innovative solutions across high-tech verticals and AI startup communities.

Your Impact:

• Work with sales peers to identify opportunities, understand customer needs, and provide tailored solutions that enhance business operations.
• Develop a deep understanding of data centre technologies, including AI, to deliver exceptional value to customers.
• Collaborate with cross-functional teams to drive technical sales and achieve business goals.

• 6+ years of technical presales experience in Compute, Storage, and/or Network solutions.
• Good understanding of programming/scripting languages.
• Ability to provide detailed documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and AI/ML solutions.
• Excellent presentation skills, with the ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics.

• Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
• Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out), and AI accelerators (GPUs etc).
• In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet, or similar.
• Experienced with data storage and management and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS, and NVAIE etc).
• Expertise in training and fine-tuning AI models on premise or in cloud environments.
• Familiarity with containerization (Kubernetes etc).

• Cisco values diversity, equity, and inclusion in all aspects of its business, ensuring that every individual brings their unique skills and perspectives together to pursue its purpose of powering an inclusive future for all.
• The company fosters a culture of continuous learning and development, allowing employees to grow professionally and personally.

We are seeking a skilled professional to support the implementation of our Machine Learning Suite. As a key member of our team, you will be responsible for ensuring that project and system design complies with our enterprise design principles, security standards, and control protocols.

• Design and implement solutions that meet business requirements and comply with our enterprise design principles.
• Develop technical documents to capture key design decisions and ensure seamless integration with interfacing applications.
• Conduct root cause analysis of issues and review new and existing code to identify areas for improvement.
• Work collaboratively with our Test Management teams to complete System Integration Testing (SIT) and User Acceptance Testing (UAT).

• End-to-end project experience in implementing Machine Learning Suites.
• Strong project management skills, including driving deliverables, tracking timelines, escalating issues, and ensuring accountability across teams.
• Experience in application architecture, development, system integration, and software design.
• Knowledge in networking, firewall configuration, data migration, password encryption, SSO integration, and disaster recovery planning.

• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.

We are seeking an experienced professional to contribute to the implementation and adoption of AI/ML solutions across our organisation. This role will support business management activities within a financial services context.

• Support the execution of AI strategy initiatives and implementation plans
• Research industry trends and use cases to contribute to strategic discussions
• Project management support of wider team initiatives including budget tracking
• Assist with business case development by gathering requirements and financial information
• Help throughout the solution lifecycle from ideation to deployment
• Track project progress and help identify potential risks
• Collaborate with cross-functional teams and help facilitate communication between technical and non-technical stakeholders
• Help ensure AI solutions comply with company policies, data governance frameworks, and financial regulations
• Assist with integrating AI solutions into existing business processes
• Support user adoption through training materials and change management activities
• Contribute to AI culture initiatives and capability building
• Architect complex Power BI dashboards that visualise AI performance metrics and business impact
• Develop custom visualisation solutions that translate complex AI insights into actionable business intelligence
• Establish and maintain robust data governance frameworks that ensure data quality, lineage, and compliance
• Create detailed budgeting models, financial forecasts, and ROI analyses for AI initiatives

We are a pioneering company that turns meetings and conversations into actionable insights. Our solutions use AI devices to boost productivity and save time.

We are seeking a highly skilled Artificial Intelligence (AI) developer to join our team. As an AI developer, you will be responsible for designing, developing and deploying AI solutions in various areas.

This is an exciting opportunity for individuals who are passionate about leveraging AI to drive business outcomes.

The successful candidate will have a strong background in computer science, data analytics, and AI/ML. They will also possess excellent problem-solving skills and the ability to work effectively in a team environment.

• Design and develop AI solutions in areas including client apps, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety, and customer experience.
• Engage with business stakeholders to understand user requirements and leverage domain knowledge to drive project targets and deliver business value.
• Collaborate with data engineers, business analysts, product owners, UX designers, AI engineers, and software engineers to adopt iterative and agile AI delivery frameworks.
• Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring, and ethical considerations.
• Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.

• Bachelor of Computer Science/Engineering, Data Analytics & AI or other related area.
• Proven track record of developing and deploying AI/ML solutions to solve business problems.
• Hands-on experience with Generative AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Excellent understanding of machine learning, deep learning, and generative AI models, their pros and cons, and ability to evaluate them for different applications.
• Extensive experience applying domain knowledge and statistical techniques in feature engineering to improve model performance and create innovative solutions.
• Deep proficiency in at least one of the following: Computer Vision, Natural Language Processing, time series modeling, network analysis, predictive maintenance, document understanding, RAG, PEFT fine-tuning, Agentic AI.

• Strong data visualization and storytelling skills, proficient in translating technical results to actionable business insights for business leaders.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with governance frameworks like Singapore's Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Knowledge in energy tech or related domains.

Good communication and teamwork skills are essential for this role. If you are a motivated and enthusiastic individual with a passion for AI, we encourage you to apply.

Our organization is seeking a seasoned AI Solutions Developer to join our team. As a critical member of the group, you will design and develop advanced AI solutions that showcase autonomous, proactive, and adaptable behaviors.

• Assist in designing and implementing agent-based AI solutions using cutting-edge platforms like Workato Agentic AI.
• Support the development of AI-driven workflows leveraging multi-agent orchestration, automation, and integration capabilities.
• Contribute to the implementation of Retrieval-Augmented Generation (RAG) systems using Workato connectors, workflows, and recipes.
• Aid in building advanced prompting, memory handling, and workflow execution logic for large language model (LLM)-based agents.
• Troubleshoot and analyze AI workflows, integrations, and automation pipelines to ensure reliability and performance.
• Collaborate with cross-functional teams to integrate AI capabilities into existing IT frameworks and customer environments.
• Participate in customer meetings to gather requirements and support the delivery of tailored agentic AI and RAG solutions.
• Continuously monitor, test, and optimize AI workflows to enhance performance, scalability, and user experience.
• Assist in creating and maintaining technical documentation, design specifications, and best practices.
• Contribute to internal knowledge sharing, including documentation, team learning sessions, and platform knowledge base updates.
• Stay up-to-date with emerging trends in AI, automation, and integration technologies relevant to the Workato ecosystem.
• Communicate effectively with both technical and non-technical stakeholders to support smooth implementation and adoption.

• Hold a Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Have experience in development and implementation, with proficiency in Workato.
• Possess a solid foundation in AI engineering, with a focus on agent-based systems.
• Be able to design and implement scalable, AI-driven workflows that improve IT operations.
• Understand the basics of integration project implementation.

• Have a deep understanding of automation technologies, middleware, integration architecture patterns, web services, enterprise messaging, APIs (REST/SOAP), SOA, ESB, BPM, SDKs, and databases.
• Be familiar with cloud technologies, including iPaaS, SaaS applications, and cloud infrastructure.
• Have hands-on experience working with data structures like JSON and familiarity with RDBMS or NoSQL databases.
• Be proficient in coding languages such as Java, Python, or Ruby.
• Stay current with technology trends and best practices in application integration and AI automation domains.
• Have exposure to cloud business applications like Workday, NetSuite, Salesforce, ServiceNow, and Marketo.
• Have a conceptual understanding of microservices, API-based integration architecture, event-driven systems, and process automation using BPM or RPA.

• Excel at collaboration, being adaptable, and having a passion for making an impact.
• Be a strong critical thinker with analytical skills, possessing an entrepreneurial and proactive mindset.
• Be able to effectively prioritize tasks and manage time even under high-pressure situations.
• Have strong written and oral communication skills, enabling effective explanation of complex technical concepts to non-technical audiences.
• Be a fast learner who can independently research extensively and synthesize ideas quickly.
• Be proactive about solving problems and willing to take on additional initiatives as they emerge.

We are seeking a skilled and motivated professional to join our team in Singapore. The ideal candidate will have at least 3 years of hands-on experience working on Natural Language Processing (NLP) and Machine Learning (ML) solutions.

The role involves designing, developing, and deploying models that extract insights and meaning from unstructured text data to solve real-world problems.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Minimum 3 years of experience in AI/ML development with a focus on NLP.
• Proficiency in Python and ML/NLP libraries such as TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK.
• Experience with deploying NLP models in production environments (REST APIs, cloud platforms, Docker, etc.).
• Solid understanding of NLP concepts such as tokenization, embeddings, attention mechanisms, and transformers.

• Design and develop NLP models for tasks such as text classification, entity recognition, summarization, and question answering.
• Fine-tune pre-trained models (e.g., BERT, RoBERTa, GPT) for domain-specific applications.
• Build and optimize ML pipelines to support scalable training, validation, and deployment of NLP solutions.
• Work closely with data scientists, software engineers, and product managers to integrate NLP capabilities into applications.

Please send your application highlighting your relevant experience, current/expected salary, availability information, and a latest MS-WORD Resume.

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants.

• Engage with potential clients to understand their business challenges and technical needs.
• Present and demonstrate AI products and solutions (e.g., NLP, Computer Vision, Predictive Analytics) to both technical and non-technical audiences.
• Design, propose, and customize AI solutions to fit client requirements.
• Partner with the sales team to strategize account approaches, RFP responses, and customer proposals.
• Conduct Proof of Concepts (PoCs) to showcase solution viability and business value.
• Provide technical expertise throughout the sales cycle, including discovery, solution design, and support during negotiations.
• Work closely with Product, Engineering, and Marketing teams to feedback customer requirements and market insights.
• Stay updated with the latest developments in AI technologies and the competitive landscape.

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 2–5 years of experience in presales, solutions engineering, technical consulting, or a related role, preferably in the AI or SaaS space.
• Strong understanding of AI technologies such as Machine Learning, Deep Learning, Natural Language Processing, and Data Analytics.
• Excellent communication and presentation skills, with the ability to translate complex technical concepts into clear business value propositions.
• Hands-on experience with AI platforms, cloud services (AWS, Azure, GCP), and APIs is a strong plus.
• Ability to manage multiple projects and stakeholders in a fast-paced environment.
• Strong problem-solving mindset and client-centric attitude.

About Us

We're a team of passionate individuals dedicated to enhancing user experiences through innovative solutions. Our focus is on developing and implementing cutting-edge AI models that drive business success.

• Our team collaborates with cross-functional teams to evaluate algorithms and AI models powering various features, identifying opportunities for improvement and optimization.
• We build data products and scalable tools to drive hypothesis generation and support collaborative decision-making.
• Our team creates structured evaluations to assess the quality of AI-generated responses, ensuring they meet high standards and customer expectations.
• We implement metrics to measure the effectiveness and accuracy of models, ensuring they meet performance standards.
• Our team establishes data quality thresholds and reporting on metrics & insights to inform feature business decisions.

Requirements

• Experience with machine learning concepts, including model evaluation metrics, and data analysis.
• Fluency in English reading, writing, and comprehension skills to partner with international teams.

What We Offer

• A dynamic work environment that fosters collaboration and innovation.
• Ongoing training and development opportunities to enhance your skills.
• A competitive salary and benefits package.