About the role
AI Engineer is a active Other Functions role at Accenture in Singapore. Open the role to review the official description and apply on the company site.
ConsultingOnsiteOther Functions
Key Responsibilities
Responsibilities are not available for this post.
Requirements
- Required Qualifications**
- Hands-on experience in machine learning, AI development, or data-driven software engineering
- Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience working with LLMs (Azure OpenAI, OpenAI, or other enterprise AI platforms)
- Familiarity with building APIs, microservices, or serverless functions
- Experience working with cloud platforms such as Azure, AWS, or GCP
- Strong knowledge of data structures, algorithms, and software engineering principles
- Ability to analyze business problems and design AI-driven solutions **Preferred Qualifications**
- Experience with vector databases, embedding architectures, or LLMOps tooling
- Understanding of MLOps practices including CI/CD for model deployment
- Hands-on work with NLP pipelines, text analytics, or conversational AI
- Experience working in regulated industries such as banking or financial services **About the Company / Team** You will join Accenture's Applied Intelligence and AI Engineering teams, working with experts across data, cloud, and technology to deliver cutting-edge AI solutions. The team values innovation, collaboration, and continuous learning, offering opportunities to build real-world AI products that drive meaningful outcomes for clients across industries. **Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.**