839 AI Specialists jobs in Singapore

In this pivotal role, you will be instrumental in crafting and implementing cutting-edge AI models and algorithms.

• You will collaborate with a seasoned team of AI engineers and data scientists to design and develop innovative AI solutions.
• Participate in data collection, preprocessing, and augmentation to ensure the highest quality datasets for training and validation.
• Contribute to the experimentation and evaluation of various machine learning algorithms to achieve optimal performance metrics.
• Document technical specifications, user guides, and best practices for AI development and deployment.
• Participate in regular team meetings, brainstorming sessions, and knowledge-sharing activities to foster a culture of continuous learning and improvement.
• Troubleshoot and debug AI-related issues in collaboration with the broader engineering team.

Requirements:

• Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field is required.
• A strong foundation in machine learning, deep learning, and AI concepts is essential.
• Practical experience with programming languages such as Python and C++ is necessary.
• Excellent problem-solving skills and critical thinking are vital.
• Effective communication skills and the ability to work well in a team environment are crucial.
• A passion for AI and willingness to learn and explore new technologies is mandatory.

We are seeking a highly skilled Data and AI Engineer to join our team. As a key member of our organization, you will play a crucial role in assisting senior engineers in training, fine-tuning, and deploying AI models such as chatbots and predictive analytics.

Clean, preprocess, and analyze datasets to support machine learning workflows. Explore and apply generative AI tools for tasks like synthetic data generation and automated documentation.

• Proficiency in programming languages such as Python, Java, JavaScript, or Golang.
• Experience with cloud-native systems and agile methodologies.
• Strong analytical and problem-solving skills.

This is a 12-month contract opportunity that offers the chance to work on exciting projects and develop your skills in a dynamic environment.

Monitor product performance metrics and present progress and plans to stakeholders across all seniority levels. Collaborate with UX, engineering, and QA teams to deliver product features aligned with the roadmap.

Artificial Intelligence Developer Position

We are seeking an experienced Artificial Intelligence Developer to join our team. The ideal candidate will have a solid understanding of AI concepts and be able to develop, implement, and maintain AI models.

The successful candidate will have the following skills:

• Strong programming skills in Python
• Familiarity with deep learning frameworks such as PyTorch and Hugging Face
• Experience with model architectures including Transformers and RNNs
• Familiarity with tools such as Nvidia NIMs and Nvidia Triton

The position offers a comprehensive training program, guarantee deployment with a full-time salary, ongoing support, mentoring, and career growth opportunities.

This is a unique opportunity to launch your AI career and work on impactful AI projects across sectors.

We look for individuals who have strong learning agility, curiosity, grit, and a problem-solving mindset. A genuine interest in AI and its applications is also essential.

Key role for an experienced AI professional in leading the development and deployment of scalable, production-ready AI solutions across the business. This position requires technical depth and cross-functional collaboration to deliver impactful results.

• Lead a team of AI/ML engineers and data scientists to design and develop innovative AI applications.
• Collaborate with product managers, architects, and stakeholders to define and prioritize AI use cases.
• Guide the creation of AI/ML systems, including natural language processing, computer vision, predictive analytics, and generative AI.
• Oversee technical delivery from prototyping to production deployment, ensuring performance, scalability, and security.
• Provide hands-on guidance on AI/ML model development, architecture decisions, and technology choices.
• Manage project timelines, risks, and resources to ensure successful delivery.
• Stay up-to-date with emerging AI trends, tools, and platforms and integrate them into the technical roadmap.
• Promote best practices in MLOps, version control, CI/CD, and model monitoring.

• 8+ years of experience in technical management with exposure to AI/ML development projects.
• Proven track record delivering AI solutions in production environments.
• Strong understanding of cloud platforms (Azure, AWS, or GCP) and deployment strategies.
• Experience with AI system integration, APIs, and scalable microservice architectures.
• Excellent communication, stakeholder management, and leadership skills.

Location: Central Singapore

• Manage AI Platform: Set up and oversee both development and production infrastructure for AI/ML workloads, ensuring reliability, scalability, and performance.
• Data Infrastructure: Build robust data ingest and transformation pipelines to support AI/ML model training and inference at scale.
• Model Deployment: Collaborate closely with data scientists to convert AI/ML models into deployable services using best practices in MLOps.
• System Integration: Integrate AI solutions with existing platforms and business systems through APIs, microservices, or other means.
• Access Enablement: Develop APIs or lightweight UIs to make AI capabilities easily accessible to partners and business users.
• Coordinate with different functional teams to implement models and monitor outcomes

• Fluent in Python programming, Linux Systems,
• Strong background in software engineering, data engineering, or AI infrastructure
• Experience with cloud platforms (Azure) and containerization tools (Docker, Kubernetes)
• Familiarity with building RESTful APIs and/or frontend tools for AI interfaces
• Solid understanding of MLOps practices and tools (e.g., MLflow, FastAPI)
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques

• Exposure to big data processing and streaming tools (e.g., Kafka, Spark)
• Proficient in Python and AI/ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with CI/CD and infrastructure-as-code (Terraform, Jenkins)
• Familiarity with security, monitoring, and performance tuning for AI services

Job Summary

Skilled and proactive AI Engineer to manage our AI platform and help turn innovative models into scalable, production-ready solutions. You'll be instrumental in setting up infrastructure, streamlining data pipelines, and enabling accessible, high-performance AI services for multiple stakeholders.

Job responsibilities

• Manage AI Platform: Set up and oversee both development and production infrastructure for AI/ML workloads, ensuring reliability, scalability, and performance.
• Data Infrastructure: Build robust data ingest and transformation pipelines to support AI/ML model training and inference at scale.
• Model Deployment: Collaborate closely with data scientists to convert AI/ML models into deployable services using best practices in MLOps.
• System Integration: Integrate AI solutions with existing platforms and business systems through APIs, microservices, or other means.
• Access Enablement: Develop APIs or lightweight UIs to make AI capabilities easily accessible to partners and business users.
• Coordinate with different functional teams to implement models and monitor outcomes

Job Requirements

• Fluent in Python programming, Linux Systems,
• Strong background in software engineering, data engineering, or AI infrastructure
• Experience with cloud platforms (Azure) and containerization tools (Docker, Kubernetes)
• Familiarity with building RESTful APIs and/or frontend tools for AI interfaces
• Solid understanding of MLOps practices and tools (e.g., MLflow, FastAPI)
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques

Good to have

• Exposure to big data processing and streaming tools (e.g., Kafka, Spark)
• Proficient in Python and AI/ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with CI/CD and infrastructure-as-code (Terraform, Jenkins)
• Familiarity with security, monitoring, and performance tuning for AI services

If the requirement matches with your profile, kindly share your updated CV/resume to Aparna at

Role Description:

The role involves contributing to the development of next-generation AI for financial and investment applications. As a member of our research group, you will be working on high-impact projects that demonstrate world-class research capabilities and real-world impact.

Key responsibilities include conducting research on data mining and machine learning, designing and building research systems and data infrastructure, publishing research results in reputable venues, pursuing collaborations with industry partners, and project management and administration.

Required Qualifications:

• PhD degree from a reputable university in Computer Science or another relevant field
• Strong research capability as evidenced by good publication and citation records
• Knowledge of data mining and machine learning research literature
• Proficiency in major programming languages such as Java, C, Python
• Excellent written and oral communication skills
• Ability to work both independently and collaboratively within a team

We offer a competitive compensation package, attractive benefits, and generous professional development opportunities to meet the work-life needs of our staff. Our commitment to attract and retain talent is ongoing.

This opportunity is part of our efforts to foster a culture where employees work, plan, organize, and play together, building strong collegiality and morale within our organization.