2,058 AI Specialists jobs in Singapore

Job Title: AI Engineering Internship

Description:

• We are seeking an ambitious and detail-oriented intern to join our team of engineers. The successful candidate will have the opportunity to work on cutting-edge projects in the field of artificial intelligence, machine learning, and computer vision.

Key Responsibilities:

• Assist in the development and implementation of AI/ML models for real-world applications.
• Undertake full project life cycles, including research, development, and evaluation.
• Prepare reports and presentations to communicate project results.
• Support in research and development of programs specifically in machine learning (ML) for practical industry applications.
• Collaborate with team members on course evaluations designed by the Training Division.

Requirements:

• Bachelor's degree in Mechanical Engineering or a related field.
• Proficiency in programming languages such as Python, Java, or C++.
• Able to work independently in a dynamic environment with assigned timelines.
• Strong analytical and problem-solving skills, with a willingness to learn.

Benefits:

• Competitive monthly stipend.
• Opportunity to gain hands-on experience in the field of AI and ML.
• Chance to work with different industries and understand the skills-in-demand.
• Platforms to apply broad experience and deepen comprehensive knowledge of engineering principles, theories, and concepts.

Working Hours:

• Monday to Friday, 10:00 - 19:00.

Location:

• 5-minute walk from Jurong East MRT.

Keyword: ArtificialIntelligence

The ideal candidate will lead the adoption of cutting-edge AI technologies for cybersecurity purposes, with a focus on end-to-end development from model experimentation to production deployment.

• Develop innovative AI workflows and automation systems with human approval integration
• Design and manage real-time intelligence retrieval systems using vector search technology
• Deploy cloud-based AI services (AWS Sagemaker/Google Vertex AI)
• Implement CI/CD pipelines and containerized deployments (Docker/Kubernetes)
• Collaborate with cybersecurity experts to deliver impactful AI solutions

This role is ideal for engineers who enjoy applying AI to solve complex real-world challenges, particularly in the national security domain.

• Bachelor's Degree or higher in Computer Science, Data Science, or related field
• 2–3 years' hands-on experience in: Python, NLP, Computer Vision, Vector databases and CI/CD practices, LangChain and AI-powered applications
• Familiarity with data warehousing (Amazon Redshift, BigQuery) an advantage
• Strong problem-solving mindset and willingness to learn

The role of an AI Engineer Intern at a leading organization involves assisting in the development, testing, and deployment of AI models and tools to support projects.

• Develop, test, and refine AI models for data processing, content generation, and automation tasks.
• Maintain scripts for data collection, cleaning, and preparation.
• Support the integration of AI models into operational workflows and pipelines.
• Conduct research on AI tools and technologies to support ongoing initiatives.
• Collaborate with the team to improve model outputs and systems.
• Document technical work clearly for team reference and knowledge sharing.

• Current student or recent graduate in Computer Science, Data Science, Engineering, or a related field.
• Eagerness to learn, experiment, and take ownership of tasks.
• Good problem-solving skills and attention to detail.
• Ability to work independently while communicating progress clearly.

• Practical hands-on experience building and testing AI systems in a real-world environment.
• Mentorship from experienced AI engineers and strategists within a high-performance team.
• Opportunities to work on projects that will be deployed internally or for clients.
• Exposure to structured problem-solving, clear system design, and AI implementation practices.

We are a forward-thinking institution where creativity and expertise blend together seamlessly.

Our collaborative environment is built around the values of innovation, professionalism, and teamwork – fostering a culture that encourages employees to grow, learn, and thrive.

To support our mission of attracting and retaining top talent, we offer an attractive benefits package, competitive compensation, and extensive opportunities for professional development.

• Implement proposed research methodologies on a project focusing on Large Language Model-based Fact Checking, sponsored by a prominent funding agency.
• Conduct regular research and development under the supervision of a Principal Investigator/Co-Principal Investigator.
• Design and implement core machine learning and optimization algorithms.
• Conduct experimental evaluations of the developed methodology and create system demonstrations.
• Collaborate in drafting technical reports and research papers.
• Attend regular team meetings and discussions.
• Manage and maintain hardware/software environments such as development platforms, software packages, and toolkits.

• Bachelor's degree in Computer Science from a reputable institution of higher learning.
• Relevant research experience in Reinforcement Learning, Imitation Learning, and Optimization.
• Publications at top AI, Machine Learning, and/or Data Mining conferences.
• Excellent analytical and problem-solving skills.
• Strong experience with Large Language Models, reinforcement/imitation learning, and optimization algorithms.
• Proficiency in programming using Python.
• Interest in LLM factuality and their applicability in addressing misinformation and hallucination.
• Highly self-motivated, able to work independently and collaboratively with team members.

As a member of our team, you can expect:

Competitive compensation packages.

Generous professional development opportunities.

A collaborative and dynamic work environment.

Support for your career growth and well-being.

At our organization, we're embarking on an exciting initiative to create a healthier and more sustainable future for everyone. Our goal is to not only improve people's lives but also the communities and environments we inhabit. This ambitious project aims to help a billion people live Healthier, Longer, Better Lives by 2030.

To achieve this vision, we need innovative individuals who are driven to make a meaningful impact. We're seeking talented professionals who are eager to work with and learn from exceptional leaders in their field.

As a Digital Transformation Specialist, you'll play a crucial role in championing and implementing digitalization and self-help capabilities at customer touch points. You'll support Technology, Digital, and Analytic (TDA) efforts to optimize processes and drive business process improvement for enhanced productivity and performance.

You'll be responsible for analyzing data to identify trends for automation, process improvement, and operational efficiency through Generative AI. Your key tasks will include:

• Supporting Head, Customer Experience in driving digital transformation and self-help tools at service touch points in Singapore and OSS Contact Centre with Compliance and Operational Risk in mind.
• Leveraging on Generative AI to design innovative solutions that streamline workflow and automate repetitive tasks.
• Developing and deploying machine learning models for predictive analytics, recommendation systems, and anomaly detection in various processes.
• Creating AI-based automation systems for business processes, customer service, data entry, and workflow optimization to enhance efficiency and productivity.
• Assisting with creating and updating documentation for AI models and processes, and supporting training sessions and workshops on AI tools and techniques.
• Monitoring and evaluating the performance of AI solutions, making necessary adjustments to optimize outcomes.

Key Requirements:

• Degree holder with knowledge of AI concepts. Understanding of artificial intelligence, machine learning, and deep learning principles.
• Proficiency in Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
• Data analytic: experience in generating and analyzing data effectively to identify key insights and trends.
• Designing customer journeys: designing

AI Engineer

Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.

AI Engineer

AI Engineer

Artificial Intelligence

BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent

Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.

• Design, develop, and implement AI/ML algorithms and models to solve business challenges.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
• Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
• Develop data pipelines and preprocessing methods for model training and deployment.
• Monitor, evaluate, and improve the performance of AI models and systems.
• Conduct experiments to validate hypotheses and enhance AI system capabilities.
• Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
• Create technical documentation for AI models and workflows.

• Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
• Strong understanding of data structures, algorithms, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Ability to work with large datasets and build scalable AI solutions.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and collaboration skills.
• Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
• Exposure to big data technologies (e.g., Hadoop, Spark).
• Knowledge of model interpretability and explainability methods.

Singapore

Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply.

Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad

Visit URL and Apply directly online by filling our form.

About Independent Project Analysis (IPA)

IPA is the preeminent global research and consulting organisation for capital projects. Our mission is to help our clients deliver better projects and deploy capital more effectively. IPA guides capital‑intensive organisations to establish the right combination of people, work process, and governance to maximise cost, schedule, safety, and operability performance.

IPA has more than 200 employees globally with offices in the United States, the United Kingdom, the Netherlands, Australia, Brazil, and Singapore. Our clients are leading companies in the process, extractive, and technology sectors and they rely on us to assess the health of their capital project systems and provide recommendations to improve their performance. The IPA project databases are unique and the most comprehensive sources of capital project experience in existence. IPA also takes a leading role in empirical research into the drivers of better projects and project systems, using our databases.

About the Team

Our growing research and analytics team has a mandate to support IPA’s mission by unlocking greater value and more insights from the wealth of IPA’s capital project data. Our team members:

• Live at the intersection of capital projects and data science
• Are inherently curious and take on diverse projects
• Are always looking for the opportunity to learn something new

We are looking for a full-stack software engineer to join our team, collaborate with our researchers, data scientists and data engineers to deploy cutting-edge analytical solutions. The goal is to grow IPA’s intellectual property, and ultimately enhance the value delivered to our clients.

Support Our Mission By

• Leading development and deployment of AI and machine learning solutions
• Supporting the AI Lead with AI solution design and management of the AI use case portfolio
• Keeping current with, and critically reviewing developments within the AI landscape, assessing potential for integration with existing workflows
• Writing clear and maintainable code, including associated documentation
• Supporting and coaching team members, assisting with their development
• Taking initiative and bringing new ideas to the table

Qualifications

• Degree in computer science, engineering, or a related field or equivalent practical experience
• Minimum 5 years’ full-stack software development experience, including database management, CI/CD pipelines and infrastructure-as-code.
• Minimum 2 years’ experience deploying scalable end-to-end AI solutions leveraging enterprise data, such as RAG and AI Agents, including knowledge of associated infrastructure (e.g., vector and graph databases) and orchestration tools (e.g., AirFlow, Dagster)
• Cloud platform certification (e.g., Azure AI Engineer, AWS Machine Learning Engineer) and demonstrable experience deploying cloud-based solutions
• Strong problem-solving skills and ability to work independently
• Excellent communications skills and able to communicate complex technical concepts to non-technical stakeholders
Understanding of capital projects and project management fundamentals is a plus

How to Apply

Email your resume and a cover letter to Ms. Belinda Low at . Please include information of past relevant work and any links to personal projects (e.g., on Github).

AI Engineer
About Company
Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.
Position
AI Engineer
Department
AI Engineer
Skills Required
Artificial Intelligence
Educational Qualification(s) Required
BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent
Overview of Job
Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.
Duties & Responsibilities
Design, develop, and implement AI/ML algorithms and models to solve business challenges.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
Develop data pipelines and preprocessing methods for model training and deployment.
Monitor, evaluate, and improve the performance of AI models and systems.
Conduct experiments to validate hypotheses and enhance AI system capabilities.
Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
Create technical documentation for AI models and workflows.
Required Skills & Qualifications
Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages like Python, R, or Java.
Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
Strong understanding of data structures, algorithms, and statistics.
Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
Knowledge of MLOps tools and practices for model deployment and monitoring.
Ability to work with large datasets and build scalable AI solutions.
Strong problem-solving and critical-thinking skills.
Excellent communication and collaboration skills.
Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
Exposure to big data technologies (e.g., Hadoop, Spark).
Knowledge of model interpretability and explainability methods.
Onsite Work Location
Singapore
Working Model
Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East.
On-site benefits apply.
Apply from Locations
Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad
How to Apply Directly?
Visit URL and Apply directly online by filling our form.
#J-18808-Ljbffr

About Independent Project Analysis (IPA)
IPA is the preeminent global research and consulting organisation for capital projects. Our mission is to help our clients deliver better projects and deploy capital more effectively. IPA guides capital‐intensive organisations to establish the right combination of people, work process, and governance to maximise cost, schedule, safety, and operability performance.
IPA has more than 200 employees globally with offices in the United States, the United Kingdom, the Netherlands, Australia, Brazil, and Singapore. Our clients are leading companies in the process, extractive, and technology sectors and they rely on us to assess the health of their capital project systems and provide recommendations to improve their performance. The IPA project databases are unique and the most comprehensive sources of capital project experience in existence. IPA also takes a leading role in empirical research into the drivers of better projects and project systems, using our databases.
About the Team
Our growing research and analytics team has a mandate to support IPA’s mission by unlocking greater value and more insights from the wealth of IPA’s capital project data. Our team members:
Live at the intersection of capital projects and data science
Are inherently curious and take on diverse projects
Are always looking for the opportunity to learn something new
We are looking for a full-stack software engineer to join our team, collaborate with our researchers, data scientists and data engineers to deploy cutting-edge analytical solutions. The goal is to grow IPA’s intellectual property, and ultimately enhance the value delivered to our clients.
Support Our Mission By
Leading development and deployment of AI and machine learning solutions
Supporting the AI Lead with AI solution design and management of the AI use case portfolio
Keeping current with, and critically reviewing developments within the AI landscape, assessing potential for integration with existing workflows
Writing clear and maintainable code, including associated documentation
Supporting and coaching team members, assisting with their development
Taking initiative and bringing new ideas to the table
Qualifications
Degree in computer science, engineering, or a related field or equivalent practical experience
Minimum 5 years’ full-stack software development experience, including database management, CI/CD pipelines and infrastructure-as-code.
Minimum 2 years’ experience deploying scalable end-to-end AI solutions leveraging enterprise data, such as RAG and AI Agents, including knowledge of associated infrastructure (e.g., vector and graph databases) and orchestration tools (e.g., AirFlow, Dagster)
Cloud platform certification (e.g., Azure AI Engineer, AWS Machine Learning Engineer) and demonstrable experience deploying cloud-based solutions
Strong problem-solving skills and ability to work independently
Excellent communications skills and able to communicate complex technical concepts to non-technical stakeholders
Understanding of capital projects and project management fundamentals is a plus
How to Apply
Email your resume and a cover letter to Ms. Belinda Low at

. Please include information of past relevant work and any links to personal projects (e.g., on Github).
#J-18808-Ljbffr