1,193 AI Developer jobs in Singapore

• Experience with conversational AI systems and NLP
• Expert level experience with Java, Python, or C++
• Experience building AI systems for SaaS applications
• Experience working in cross-functional teams with product management, user experience and engineering teams

• Experience with Python and deep learning frameworks, such as TensorFlow or PyTorch
• Experience with developing dialogue interpreters
• Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering
• Knowledge of pretrained language models
• Experience with Go
• Open to residents of Singapore/Zurich only

PrimusTech Pte Ltd is a Master Systems Integrator (MSI) for buildings and facilities, as well as a mechanical engineering solutions provider. With over 25 years of experience, our award-winning team handles projects for both public and private infrastructure. We offer Integrated Building Management Systems (IBMS) and Smart Facility Management Systems through our in-house developed Sirius+ framework. Based in Singapore, PrimusTech boasts an extensive portfolio of satisfied clients.

Key Responsibilities:

• Assist the Technical Manager in designing, developing, testing, and implementing AI software for Building Automation and Facility Management.
• Designing and implementing Generative AI solutions using Large Language Models to solve domain specific problems.
• Developing initial versions of AI applications for testing and feedback.
• Refining AI models for improved performance, accuracy, efficiency, and scalability.
• Integrating trained AI models into production environments and existing software systems, ensuring seamless interaction between AI components and broader software.
• Continuously monitoring AI performance in production environments, troubleshooting errors, and updating models to ensure ongoing accuracy and efficiency.
• Designing custom AI solutions to help businesses automate tasks, optimize processes, and make data-driven decisions.
• Analyzing AI-generated outputs, identifying issues, and developing innovative solutions to complex challenges in AI system design and optimization.

Requirements:

• Bachelor's degree in computer science, MIS, Software Engineering, or Information Systems.

• 4+ years of hands-on experience software development for Artificial Intelligence and Machine Learning.

• Knowledge of Natural Language Processing (NLP), Generative AI and Large Language Models (LLM) and how to leverage them for applications.

• Proficient in using leading LLMs (Gemini, GPT-4), with experience in context window management and token cost optimization.
• Skilled in designing and implementing end-to-end GenAI architecture, covering prompt engineering, embeddings and vector stores, RAG, function calling, MCP, multi-agent systems, and fine-tuning (LoRA), and has hands-on experience with using relevant tools.
• Experience building production-grade agents and knowledge-based QA systems using LangChain.
• Proficient in Java, and Python programming.
• Experience with SQL/NoSQL databases for data manipulation, analysis, and interpretation.
• Experience with AI/ML services on platforms like AWS, Google Cloud, Azure.
• logical reasoning, analytical abilities, and creativity in designing solutions.
• Strong desire to learn new technologies, tools, and research.
• work effectively in cross-functional teams.
• Ability to work in a fast-paced and agile development environment and to learn new frameworks/stacks.

Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.

Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.

Proficiency in other applicable programming languages.

Strong knowledge of machine learning, data mining, and predictive modeling.

Excellent understanding of machine learning algorithms, processes, tools, and platforms.

Possess strong problem-solving and strategic thinking abilities.

Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches

Agentic AI / Generative AI solution design and implementation

Exceptional communication, documentation and presentation skills and stakeholder management experiences

Knowledge of Agile

Responsibilities:

• Develop and implement AI models using machine learning and deep learning techniques to solve complex business problems.
• Develop and implement machine learning algorithms to enhance AI capabilities.
• Collaborate with data scientists and engineers to optimize AI models and improve performance.
• Design and integrate natural language processing systems for AI-powered applications.
• Research and implement cutting-edge AI technologies and frameworks.
• Create and maintain documentation for AI model development and deployment processes.
• Test and validate AI models to ensure accuracy and reliability in real-world scenarios

Requirements:

• At least 2-3 years of experience in AI engineering or machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Experience in deploying machine learning models into production.
• Strong proficiency in for building modern, responsive web applications.
• Proficiency in for backend development and API creation.
• Experience with JavaScript, HTML, CSS, and other front-end technologies.
• Familiarity with cloud platforms like AWS or Azure for deploying and scaling applications.
• Experience with database management systems (e.g., SQL, NoSQL).
• Ability to work with APIs and integrate third-party services.

Our Address and Working Hours:

Seatrium Pioneer Yard

50 Gul Road Singapore

(Island wide transport provided)

Mon - Thu: 8am - 5:15pm, Fri: 8am to 4:30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

MINDEF

Permanent/Contract

Closing in 2 day(s)

What the role is

You deep dive into technical solutions, work with operational users to acquire datasets and models for the Singapore Armed Forces (SAF) as a product developer.

What you will be working on

• Stay up-to-date with the latest developments in Artificial Intelligence and Machine Learning (AI/ML) technology
• Proactively identify, initiate and promulgate worthwhile engineering projects across the SAF
• Work with operational users to acquire datasets and models
• Develop and implement AI/ML solutions for SAF use
  Challenge(s):
• Maintaining in-depth understanding of AI/ML and languages like Python
• Staying acquainted with the latest AI/ML technologies and understanding their application and impact to ensure the deployment of AI/ML tools is beneficial to the SAF

What we are looking for

• Education in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science and Analytics
• At least 3 years of relevant work experience is preferred
• Deep understanding of AI/ML, including supervised and unsupervised learning, neural networks and deep learning
• Hands-on experience with current AI tools like TensorFlow and PyTorch
• Ability to multi-task and work under stressful environments
• Strong leadership traits, good planning abilities, and communication skills
• Proficiency in data structures and algorithms
  (Applicants with no experience may .)
  Only shortlisted candidates will be notified.

About MINDEF

The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.

About your application process

This job is closing in 2 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.

Key Responsibilities:

• Software Development: Design, develop, and maintain high-performance software applications and systems using C++ for core functionalities where performance and efficiency are critical, and Python for scripting, automation, rapid prototyping, data processing, and integration with other systems.
• System Integration: Integrate C++ components with Python-based systems or services, potentially using tools like SWIG or PyBind11, to create comprehensive solutions.
• Performance Optimization: Identify and resolve performance bottlenecks in C++ code, and optimize Python scripts for efficiency.
• Testing and Debugging: Develop and execute unit, integration, and system tests for both C++ and Python codebases. Diagnose and debug issues across different language environments.
• Collaboration: Work closely with cross-functional teams (e.g., hardware engineers, data scientists, QA) to define requirements, design solutions, and ensure seamless integration.
• Code Quality and Documentation: Adhere to coding standards, participate in code reviews, and maintain comprehensive technical documentation for both C++ and Python components.
• Tooling and Automation: Utilize Python for developing build scripts, testing frameworks, and other automation tools to streamline the development and deployment process.

Required Skills:

• MicroPython or Rust or C/C++
• Good English communications

Job Title:

AI Developer – Big Data Analytics & Machine Learning

About the Role

We are seeking an experienced AI Developer with strong expertise in Big Data analytics, machine learning, and AI-driven solutions to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying AI-powered data models, working with large datasets, and enabling data-driven decision-making for business growth and operational excellence.

Key Responsibilities

• AI Model Development – Design, build, and deploy machine learning and deep learning models for predictive analytics, classification, clustering, recommendation systems, and anomaly detection.
• Big Data Processing – Develop and maintain pipelines for processing large-scale datasets from multiple sources using tools like Apache Spark, Hadoop, or cloud-based data platforms.
• Data Engineering – Work closely with data engineers to ensure data quality, accessibility, and scalability for AI applications.
• Model Evaluation & Optimization – Conduct experiments, optimize hyperparameters, and improve model performance for accuracy, efficiency, and scalability.
• Integration – Collaborate with software engineers to integrate AI models into production systems and applications.
• Data Visualization & Reporting – Create dashboards and visual analytics to present insights to stakeholders using tools such as Power BI, Tableau, or custom-built solutions.
• Research & Innovation – Keep abreast of emerging AI/ML technologies, frameworks, and best practices to ensure continuous improvement in solutions.

Requirements

Education & Experience:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field.
• 3+ years of hands-on experience in machine learning model development and big data analytics.

Technical Skills:

• Proficiency in Python, R, or Scala for data science and machine learning development.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Strong knowledge of big data platforms (Apache Spark, Hadoop, Databricks) and data pipelines (Airflow, Kafka, etc.).
• Solid understanding of SQL and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments.
• Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a cross-functional environment.

Preferred Qualifications

• Experience with natural language processing (NLP), computer vision, or reinforcement learning.
• Knowledge of real-time data analytics and streaming data pipelines.
• Exposure to business intelligence tools and advanced statistical analysis.

What We Offer

• Competitive salary and performance-based bonuses.
• Opportunity to work on cutting-edge AI and big data projects with real-world impact.
• Professional development support, including training in emerging AI/ML technologies.
• Collaborative and innovative work culture.

Job Types: Full-time, Permanent, Contract

Contract length: 60 months

Pay: From $1,000.00 per month

Benefits:

• Work from home

Work Location: Remote

JOB DESCRIPTION

• Develop and implement AI models using machine learning and deep learning techniques to solve complex business problems.
• Develop and implement machine learning algorithms to enhance AI capabilities.
• Collaborate with data scientists and engineers to optimize AI models and improve performance.
• Design and integrate natural language processing systems for AI-powered applications.
• Research and implement cutting-edge AI technologies and frameworks.
• Create and maintain documentation for AI model development and deployment processes.
• Test and validate AI models to ensure accuracy and reliability in real-world scenarios.

JOB REQUIREMENTS

• At least 2-3 years of experience in AI engineering or machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Experience in deploying machine learning models into production.
• Strong proficiency in for building modern, responsive web applications.
• Proficiency in for backend development and API creation.
• Experience with JavaScript, HTML, CSS, and other front-end technologies.
• Familiarity with cloud platforms like AWS or Azure for deploying and scaling applications.
• Experience with database management systems (e.g., SQL, NoSQL).
• Ability to work with APIs and integrate third-party services.

• Software Development:Design, develop, and maintain high-performance software applications and systems using C++ for core functionalities where performance and efficiency are critical, and Python for scripting, automation, rapid prototyping, data processing, and integration with other systems.
• System Integration:Integrate C++ components with Python-based systems or services, potentially using tools like SWIG or PyBind11, to create comprehensive solutions.
• Performance Optimization:Identify and resolve performance bottlenecks in C++ code, and optimize Python scripts for efficiency.
• Testing and Debugging:Develop and execute unit, integration, and system tests for both C++ and Python codebases. Diagnose and debug issues across different language environments.
• Collaboration:Work closely with cross-functional teams (e.g., hardware engineers, data scientists, QA) to define requirements, design solutions, and ensure seamless integration.
• Code Quality and Documentation:Adhere to coding standards, participate in code reviews, and maintain comprehensive technical documentation for both C++ and Python components.
• Tooling and Automation:Utilize Python for developing build scripts, testing frameworks, and other automation tools to streamline the development and deployment process.

• MicroPython or Rust or C/C++
• Good English communications