Junior AI Engineers (Associates/Senior Associates) / Technology Consulting, AI & Data
Ernst and Young22 days ago
Singapore, SingaporeEntry Level
Responsibilities
- Design, build, and deploy intelligent single- and multi-agent GenAI applications for planning, task decomposition, and execution.
- Develop and maintain end-to-end AI workflows integrated with backend systems, APIs, data pipelines, and cloud platforms.
- Develop and refine NLP, machine learning, predictive, and data analysis models using structured and unstructured data.
- Prototype and experiment with AI agent frameworks including LangChain, LangFlow, LangGraph, LangSmith, and LlamaIndex.
- Apply software engineering practices for code quality, packaging, maintainability, and production deployment.
- Use Python, Java, React, and Node.js to develop full-stack AI applications.
- Collaborate with cross-functional stakeholders, present findings to business and management audiences, and provide strategic recommendations.
- Define success metrics and delivery timelines while supporting timely completion of consulting projects.
Requirements
- Bachelor’s degree in computer science, mathematics, engineering, statistics, or a related field.
- At least 1 year of experience in NLP, machine learning, or generative AI, specifically involving large language models.
- Proficiency in Python and other applicable full-stack programming languages.
- Knowledge of machine learning, language modeling, data mining, predictive modeling, and data science algorithms and platforms.
- Knowledge of API integration, containerization, cloud platforms, automated testing frameworks, and CI/CD practices.
- Experience or beginner knowledge in NLP, machine learning, generative AI, data transformation, and scripting.
- Experience with project delivery, exploratory analysis, data science, big data analytics, business intelligence, data warehousing or platform, and data strategy projects is preferred.
- Strong communication, documentation, presentation, stakeholder management, problem-solving, and prioritization skills.
Benefits
- Competitive remuneration package based on work experience, with rewards tied to individual and team performance.
- Flexible working arrangements may be available under EY’s FWA Policy.
- Continuous learning, coaching, leadership development, and an inclusive and diverse culture are offered.
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