682 AI Specialist jobs in Singapore

The programme aims to develop local AI talent by providing deep-skilling and project execution opportunities. A driven professional with expertise in AI will execute programmes, lead projects, and spearhead innovative initiatives.

This role involves guiding real-world projects, mentoring apprentices, and providing technical guidance on cutting-edge AI technologies. The successful candidate will collaborate with industry partners to identify project requirements and deliverables.

• Drive tasks related to AI partnership projects and other programmes.
• Develop end-to-end solutions for industry projects from scoping to deployment and maintenance.
• Train and mentor AI apprentices during the project phase.
• Collaborate with partners to scope and define project requirements and deliverables.
• Conduct assessments and feasibility studies for potential collaborations.

Excellent skills in AI are required. Experience with leading AI-based projects and training apprentices is beneficial.

This role offers a unique opportunity to work with cutting-edge AI technologies and contribute to the development of local AI talent.

Responsibilities:

• Contribute to the design and implementation of AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

Requirements:

• Bachelor's Degree in Computer Science, Engineering, Data Science, or any other relevant subject.
• Minimum 2 years of experience in Data Science and Machine Learning.
• Deploying LLMs, AI Agents and AI Solutions, integrate and deploy open source AI models and solutions from Huggingface repository.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

TOPPAN Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at or

For more career opportunities, please visit our career site at:-

(Please copy & paste the above link onto your browser)

Crypto.com is seeking an
AI Specialist
to join our growing AI & Data team. This role is ideal for a data-savvy innovator with experience in machine learning, generative AI, and natural language processing. You will work with large datasets and advanced algorithms to build and deploy AI solutions across diverse applications such as text, image, audio, and video generation.
Key Responsibilities:
Design and build robust data pipelines to collect, clean, and process large-scale datasets for AI model training and evaluation
Develop predictive models and machine learning algorithms to solve business and operational challenges
Implement generative AI solutions across NLP, image, video, and audio domains using advanced techniques and frameworks
Conduct research on cutting-edge AI models and techniques, staying current with the latest innovations
Collaborate with cross-functional teams to understand business needs and deliver impactful AI solutions
Optimize prompt engineering strategies for large language models and multimodal AI tools
Required Qualifications:
Solid experience with machine learning techniques including supervised and unsupervised learning
Proficiency in deep learning frameworks and generative AI methodologies
Strong understanding of NLP and large language models (LLMs)
Hands-on experience with Python and scripting languages such as Unix shell or PowerShell
Experience using cloud-based AI platforms (AWS, GCP, Azure)
Familiarity with LLMs such as GPT, Claude, and Hugging Face models
Preferred Skills:
Experience in prompt engineering and optimization for LLMs
A passion for innovation and keeping pace with emerging AI technologies
About Crypto.com:
Founded in 2016,
Crypto.com
is a global leader in cryptocurrency trading, with over 100 million users worldwide. Recognized for our commitment to regulatory compliance, data privacy, and security, we continue to drive the mass adoption of blockchain technology through innovative solutions and a strong community.
Pioneer Talent Program - Organic Content Operations
Crypto Operations Manager - Oregon, United States
Crypto-Native UX Researcher (Remote - Jakarta, Indonesia)
Web3 Head of Marketing and Communications (Remote)
#J-18808-Ljbffr

Responsibilities:

• Contribute to the design and implementation of AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

Requirements:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or any other relevant subject.
• Minimum 2 years of experience in Data Science and Machine Learning.
• Deploying LLMs, AI Agents and AI Solutions, integrate and deploy open source AI models and solutions from Huggingface repository.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

TOPPAN Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at or

For more career opportunities, please visit our career site at:-

(Please copy & paste the above link onto your browser)

THE WORK: Embrace the opportunity to shape the future of technology In this role, you will be a Subject Matter Expert, collaborating with various teams to drive impactful decisions. You will engage with multiple teams and contribute to key decisions while providing innovative solutions to complex challenges. Your expertise in Data & AI Solution Architecture will be pivotal in creating a positive impact. We invite you to join us in this exciting journey where your contributions will be valued and celebrated

• Design and implement robust data and AI solutions that meet organizational needs.
• Collaborate with cross-functional teams to ensure alignment on project goals and deliverables.
• Analyze and interpret complex data sets to inform strategic decision-making.
• Facilitate workshops and discussions to promote understanding of data-driven insights.
• Monitor and evaluate the effectiveness of implemented solutions, making adjustments as necessary.

HERE'S WHAT YOU WILL NEED:

• Advanced proficiency in Data & AI Solution Architecture.
• Advanced proficiency in Data & AI Strategy.
• A minimum of 5 years of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies.

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Artificial Intelligence (AI).
• Advanced proficiency in Artificial Intelligence Ethics.
• Advanced proficiency in Data & AI Patterns & Technologies.
• Advanced proficiency in Responsible AI.

Overview
We are sourcing for a Generative AI specialist for our client, who is one of the leading Insurers in Singapore, known for its strong heritage and wide-reaching presence in the insurance industry.
This Generative AI Specialist will be responsible for researching, designing, and implementing AI models and systems that leverage generative AI technologies. This position is critical in developing innovative solutions that drive business transformation and enhance customer experiences.
Key Responsibilities
Gen AI and ML Development
Design, develop, and implement GenAI models and applications
Optimize existing GenAI systems for improved performance and efficiency
Stay current with the latest advancements in GenAI technologies
Create and manage the AI/ML development process and infrastructure
Collaboration and Communication
Work closely with data scientists, programmers, and other stakeholders
Communicate the utility of AI models to diverse audiences, including product managers and executives
Translate complex technical concepts into accessible language for non-technical team members
Data Analysis and Infrastructure
Conduct statistical analysis and interpret findings to drive decision-making
Create and manage data transformation infrastructure
Automate critical tasks and procedures for the data science team
Model Deployment and Integration
Expose machine learning and GenAI models via APIs for integration with other applications
Develop and maintain API documentation for seamless integration
Collaborate on system integration projects to ensure smooth implementation of AI solutions
Innovation and Research
Explore new GenAI techniques and methodologies to enhance product capabilities
Contribute to the company's AI strategy and roadmap
Evaluation
Develop and implement testing protocols for GenAI models
Ensure the reliability, scalability, and performance of AI systems
Conduct regular audits of AI models to maintain accuracy and ethical standards
Qualifications
Education:
Master's or Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a closely related field
Experience:
Minimum of 4 years of relevant work experience in software development, with a focus on AI and frontend technologies; Minimum of 4 years' experience in a similar role involving AI development and implementation
Technical Skills:
Solid knowledge of data warehousing, database systems, and cloud platforms (e.g., AWS, Azure, or GCP); Experience with data mining techniques and methodologies; Experience with natural language processing (NLP) and computer vision
Knowledge & Analytical Skills:
Strong background in AI, particularly in Generative AI technologies; Outstanding problem-solving skills, with the ability to tackle complex technical challenges; Strong statistical analysis skills and the ability to interpret findings effectively
Communication:
Excellent written and verbal communication skills to present complex information to non-technical stakeholders
Innovation:
A demonstrated ability to think creatively and provide innovative solutions to challenges
Benefits
1 year contract role - Highly renewable and extendable
Company Insurance Included
14 days of AL
Performance Based Bonus may be included
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We are looking for an experienced AI Specialist – Deployment Strategist to lead the adoption and deployment of AI-driven solutions in the Banking, Financial Services and Insurance (BFSI) sector. The ideal candidate will bring hands-on expertise in implementing AI/ML models, combined with strong industry knowledge of BFSI processes such as credit risk, fraud detection, customer engagement, claims management and digital banking transformation.

This role requires a balance of technical proficiency and strategic insight to ensure AI deployments deliver measurable business outcomes while meeting regulatory and compliance standards.

• AI Deployment & Integration
  
  Lead the end-to-end deployment of AI/ML models into BFSI environments (core banking, insurance platforms, digital channels).

Ensure scalability, performance and compliance of AI solutions within regulated financial ecosystems.

Work with data science and engineering teams to integrate models into existing BFSI workflows.
- Strategy & BFSI Alignment

Partner with banks and insurers to define AI adoption roadmaps aligned to business priorities.

Provide strategic guidance on AI use cases in risk management, customer experience, compliance automation and fraud prevention.

Translate AI capabilities into tangible value for BFSI stakeholders.
- Governance & Continuous Improvement

Ensure AI deployments meet industry standards for transparency, fairness and regulatory compliance

Establish monitoring frameworks for model performance and reliability.

Drive continuous optimization through real-time feedback and retraining cycles.

• Experience: 5+ years in AI/ML design and deployment, with at least 3 years working with BFSI clients or solutions.
• Industry Knowledge: Strong understanding of BFSI processes (retail banking, insurance claims, credit risk, anti-fraud systems, regulatory compliance).
• Education: Bachelor's or Master's degree
• Other: Excellent communication, stakeholder management and the ability to bridge technology with business needs.

• Opportunity to shape AI adoption in BFSI across Singapore and Southeast Asia.
• High-impact role at the intersection of AI innovation and financial services.
• Competitive compensation with performance-linked incentives.
• Growth in a sector where AI is redefining digital banking and insurance .

We are seeking a seasoned developer to create advanced Large Language Models (LLMs) and Generative AI (GenAI) systems.

• Design, build, and deploy large-scale agent-based systems using cutting-edge LLMs and tool orchestration frameworks.
• Optimize generative AI solutions leveraging models like GPT, Claude, Gemini, and LLaMA for maximum performance.
• Implement robust Retrieval-Augmented Generation (RAG) pipelines, reasoning chains, and multi-step workflows for complex enterprise AI systems.

• Develop, refine, and evaluate prompt engineering techniques to enhance model accuracy and consistency.

• Collaborate with engineering, product, and design teams to translate business goals into scalable AI solutions.

• TensorFlow
• Machine Learning
• Pipelines
• PyTorch
• Python
• Keras