AI Engineer (Graduate) at SIMPLIFYNEXT PTE LTD

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine learning, Generative AI, LLMs, Prompt engineering, RAG, Agentic workflows, Data engineering, Data analysis, Cloud platforms, AWS, GCP, Azure, Git, REST APIs, TensorFlow

Industry

IT Services and IT Consulting

Description

SimplifyNext is a fast-growing consulting and technology firm founded by veterans from top-tier consulting companies, focused on AI, Automation, and Application Platforms. Our mission is to drive business transformation across industries by combining strategic insight with deep technical expertise. We work with leading enterprises and public sector organisations across Singapore and the Asia Pacific region to design, build, and operate scalable digital and automation platforms — delivering impactful transformations for global and local organisations alike. Built as an agile practice, we mentor and grow the next generation of consulting and technology experts. We invest heavily in structured training and enablement programmes that help our teams expand across Intelligent Automation, Test Automation, AI-powered workflows, and Agentic AI solutions. Recognised as one of the fastest-growing companies in Singapore and Asia Pacific, SimplifyNext is positioned as one of the most credible and ambitious digital transformation teams in the region. Work you’ll do 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: AI & Machine Learning Development · 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 Data Engineering & Preparation · 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 Collaboration & Consulting Exposure · 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. • 0–3 years of AI development experience (Fresh graduates are welcome to apply) • 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 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.

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Responsibilities

You will build and train machine learning models while developing generative AI workflows and intelligent automation components. Additionally, you will collaborate with consultants and domain experts to translate business problems into deployable AI solutions.