AI Engineer (Graduate)

2 мес. назад

SingaporeWorldwideTrainee

machine learningaiautomationprototyping

Hands-on engineering role building AI and machine learning solutions for clients across ASEAN.

Требования

• 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

Условия

· 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 , 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.

Другое

empowers organizations to thrive by simplifying complexities and unlocking next-generation technologies. Trusted by 150+ organizations, we drive measurable business impact through intelligent automation, AI-driven innovation, and next-gen applications. 
With a team of more than 200 professionals, we operate from our headquarters in Singapore and offices in Thailand and Malaysia, serving clients across Asia Pacific and the Middle East. Recognized among Singapore’s 100 Fastest Growing Companies and Asia Pacific High-Growth Companies from 2023 to 2025.
We partner with leading global technology providers, including Microsoft, AWS, ServiceNow, UiPath, Automation Anywhere, SS&C Blue Prism, OutSystems, Workato, ABBYY, etc. Our customers span leading global and regional organizations across industries such as Banking & Financial Services, Healthcare, Education, Manufacturing, Real Estate, Logistics, Transportation, Technology, Public Sector, and Defense.
As an AI Engineer at , 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
 
· 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
 
· 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