AI Engineer

SimplifyNext; Singapore; On-site; SGD 55,000 - 75,000; Full time

Job summary

A leading AI consultancy in Singapore seeks an AI Engineer to build real-world AI solutions across ASEAN. You will work closely with experts to develop machine learning models, integrate AI technologies, and support deployment on cloud platforms. Ideal candidates hold a Bachelor's degree in a related field, possess strong Python skills, and are passionate about AI. Join a fast-growing team dedicated to driving innovation and delivering impactful digital solutions.

Benefits

Rapid growth through certifications

Mentorship and enablement programs

Supportive culture that values creativity

Qualifications

• Strong foundation in Python, algorithms, and data structures.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn or HuggingFace.
• Fresh graduates are welcome to apply.

Responsibilities

• Build and train machine learning models using Python and modern ML frameworks.
• Support fine-tuning, optimisation, and evaluation of AI models.
• Conduct model validation, scenario testing, and UAT with internal and client stakeholders.

Skills

Machine learning models

Python

Generative AI technologies

Data analysis

AI fundamentals

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

SimplifyNext is one of ASEAN’s most innovative Automation and AI consultancies, empowering organisations to scale automation, integrate Generative and Agentic AI, and deliver next‑generation digital platforms. Our team blends strategy, technology, and design to transform how businesses work.

Our portfolio spans ASEAN and global clients across multiple industries, where we’ve successfully driven large‑scale automation programmes, next‑gen application modernisation, and enterprise AI initiatives. Recognized as one of Singapore’s 100 Fastest Growing Companies 2024 (Straits Times & Statista) and High‑Growth Companies Asia‑Pacific 2024 (Financial Times & Statista), we are proud of our track record in building transformation journeys that last.

We partner with leading platforms and ecosystems including ServiceNow, UiPath, OutSystems, Salesforce, Microsoft, AWS, and more — and continue to invest in Centres of Excellence, enablement programs, and Citizen Developer initiatives to accelerate innovation and deliver high‑impact digital experiences.

As an AI Engineer at SimplifyNext, you will be part of a hands‑on engineering team building real‑world AI and machine learning solutions that create meaningful impact for clients across ASEAN. You will work closely with consultants, architects, and domain experts to translate business problems into deployable AI models, generative AI workflows, and intelligent automation components.

You will have the opportunity to experiment with modern AI frameworks, build prototypes, fine‑tune models, and implement AI capabilities end‑to‑end—from data preparation to deployment. This role is designed for fresh graduates who want to build, break, learn, and innovate within a supportive environment grounded in consulting excellence and deep engineering capability.

Your responsibilities would include but not limited to:

• Build and train machine learning models using Python and modern ML frameworks
• Experiment with generative AI technologies (LLMs, embeddings, prompt engineering, RAG, agentic workflows)
• Support fine‑tuning, optimisation, and evaluation of AI models
• Develop reusable AI components and microservices
• Collect, clean, and transform datasets for training and inference
• Perform exploratory data analysis to uncover patterns and insights
• Document data assumptions, limitations, and preprocessing logic

Solution Engineering

• Contribute to AI solution design, model selection, architecture discussions, and implementation approaches
• Integrate AI models into applications, APIs, and automation workflows
• Build proof‑of‑concepts (POCs) and accelerate client adoption of AI

Testing, Deployment & Delivery

• Conduct model validation, scenario testing, and UAT with internal and client stakeholders
• Support deployment of AI models on cloud platforms (AWS/GCP/Azure) or containerised environments
• Monitor performance and support continuous improvement post‑deployment
• Work with functional SMEs to understand business problems and AI opportunities
• Translate complex concepts into simple, understandable terms for non‑technical audiences
• Participate in workshops, demos, and client discussions as part of project teams

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, AI, Data Science, or a related field
• Strong foundation in Python, algorithms, and data structures
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit‑learn, or HuggingFace
• Understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering
• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus
• Familiarity with Git, REST APIs, or notebook‑based development is beneficial
• Strong analytical thinking, curiosity, and problem‑solving skills
• Passion for AI, experimentation, building things, and delivering quality work
• Fresh graduates are welcome to apply

Why Join Us

• Be part of a fast‑growing consulting and technology firm driving AI, automation, and next‑gen engineering
• Work on high‑impact challenges across ASEAN, delivering real‑world AI solutions
• Gain hands‑on experience from day one with industry experts, architects, and consultants
• Contribute to innovation programmes, accelerators, and AI Centres of Excellence
• Grow rapidly through certifications, mentorship, structured enablement, and exposure to emerging AI technologies
• Join a supportive, high‑trust culture that values creativity, experimentation, and continuous learning

At SimplifyNext, we’re committed to building a team of curious, driven, and forward‑thinking individuals who care deeply about creating meaningful impact through technology. If you’re excited by the opportunity to grow, collaborate, and shape the future of digital transformation across the region, we’d be happy to hear from you.