1,451 AI Specialists jobs in Singapore
AI Development Specialist
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We are seeking a skilled AI Engineer to design and implement cutting-edge AI solutions that drive automation and cost optimization across our existing and new product lines.
The ideal candidate will have a strong background in AI/ML technologies, with a focus on Generative AI solutions, and experience in deploying AI models in a production environment.
The role requires expertise in integrating Generative AI models into business workflows and staying up-to-date with the latest advancements in AI, particularly Natural Language Processing (NLP), Langchain, and AWS Bedrock.
- Develop, implement, and maintain AI models and algorithms, including Generative AI models, to enhance product capabilities and automate processes.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions using Generative AI technologies where applicable.
- Integrate Generative AI solutions with existing products and platforms to deliver seamless functionality and performance.
- Optimize AI models for efficiency, scalability, and cost-effectiveness, with a focus on the efficient deployment of Generative AI tools.
- Monitor and evaluate the performance of AI solutions, including Generative AI models, making adjustments and improvements as needed.
- Stay updated with the latest advancements in AI, Generative AI, and machine learning, applying new techniques and technologies as appropriate.
- Document processes, methodologies, and findings to support knowledge sharing within the team, with special attention to the usage of Generative AI tools.
- Candidate must have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as an AI Engineer or similar role with a track record of deploying AI solutions, including Generative AI models, in production is required.
- Strong programming skills in languages such as Python, Java, or C++ are essential.
- Proficiency with machine learning frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn, is necessary.
- Candidate should have experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms and services, especially AWS Bedrock, is highly desirable.
- Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment are required.
- Candidate must have excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with Generative AI, NLP, and transformer-based models is highly preferred.
We offer a dynamic and innovative work environment where you can grow professionally and make a meaningful impact. If you're passionate about AI and eager to join a talented team, please submit your application.
AI Development Specialist
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We are seeking a talented AI Development Specialist to join our team.
About the Role:This is an exciting opportunity for a skilled AI engineer to design, develop and deploy AI/ML models to optimize construction project timelines, resource planning, safety analysis, and cost management.
You will work closely with the Building Information Modelling (BIM) team to integrate AI tools with BIM platforms and other construction management systems. Your expertise in predictive analytics will enable you to create models that identify potential project risks, material requirements, and maintenance needs.
You will also be responsible for implementing AI solutions for automated progress monitoring, defect detection, and quality control using drones, cameras, or IoT sensors. Additionally, you will collaborate with project managers, architects, and engineers to understand project requirements and translate them into AI-driven solutions.
Your strong problem-solving abilities, excellent communication skills, and ability to collaborate with multidisciplinary teams will make you an ideal fit for this role.
Required Skills and Qualifications:- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
- Minimum 3–5 years of experience in AI/ML solution development.
- Prior exposure to construction, civil engineering, or BIM technologies is an advantage.
- Opportunity to work on cutting-edge AI projects in the construction industry.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- Familiarity with Singapore construction standards and data security regulations will be an added advantage.
AI Development Professional
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TikTok is the leading destination for short-form mobile video.
AI Development Expert
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As a senior AI developer, you will spearhead the creation and optimization of our AI Web Platform. This pivotal role offers a rare opportunity to join the founding team and collaborate with the development team. You will apply cutting-edge technologies to enhance platform capabilities and improve the functionality and performance of the frontend framework.
About the Role
- Participate in iterative development of AI for Business scenarios
- Apply new technologies to enhance platform capabilities
- Improve the functionality and performance of the frontend framework
Key Responsibilities
Design, develop, and deploy AI-powered web applications
Collaborate with cross-functional teams to identify and prioritize feature development
Ensure high-quality code standards and best practices are followed
Stay up-to-date with emerging technologies and industry trends
Requirements
Expertise in machine learning algorithms and deep learning techniques
Proficiency in programming languages such as Python, JavaScript, or C++
Strong understanding of data structures and software engineering principles
Experience with cloud-based platforms and containerization tools
Benefits
Opportunity to work on cutting-edge technology projects
Chance to collaborate with a talented and diverse team
Competitive salary and benefits package
Professional growth and development opportunities
AI Development Assistant
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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.
**AI Development Expert Wanted**
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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.
Chief AI Development Officer
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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.
Responsibilities:- 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
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Senior AI Development Lead
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We are seeking a skilled and experienced professional to lead our Artificial Intelligence (AI) enablement initiatives. The successful candidate will spearhead the growth of AI skills among undergraduate students and academic staff, developing and delivering digital literacy courses and workshops.
This role requires a strong background in Computer Science or a related field, with at least 10 years of working experience, including 5+ years in Artificial Intelligence, Machine Learning, Analytics, or a related area. Proven experience in developing and deploying AI solutions is essential.
The ideal candidate will have strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar, as well as proficiency in data preprocessing, model training, and evaluation techniques. Familiarity with cloud platforms like AWS, Azure, and Google Cloud is also required.
Responsibilities include leading and overseeing AI enablement programmes, developing an AI Competency Roadmap, staying up-to-date with the latest developments in AI, managing AI-related resources, driving AI projects, and collaborating with industry partners and stakeholders.
To succeed in this role, you should possess strong supervisory skills, project management skills, and good interpersonal skills. You should also be able to work independently and as part of a team, ensuring that projects meet milestones and deadlines.
A degree in Computer Science or a related field, along with relevant certifications, would be advantageous. We offer a competitive remuneration package, including salary and benefits.
AI Engineer- Artificial Intelligence
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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
- 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
AI Engineer- Artificial Intelligence
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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
Tell employers what skills you haveTensorFlow
Streamlining
Big Data
Pipelines
Software Engineering
Reliability
Data Engineering
PyTorch
Python
Containerization
Performance Tuning
Docker
Python Programming
Linux
FastAPI