Tax - Senior AI/ML Engineer

Ernst & Young Advisory Services Sdn Bhd; Jakarta Pusat; On-site; IDR 240,000,000 - 360,000,000; Full time

Job summary

Ernst & Young Advisory Services Sdn Bhd in Jakarta is seeking an experienced AI/ML Engineer to design, develop, test, and deploy AI/ML and Generative AI solutions for business processes.

You will build predictive models, data pipelines, and AI agents while collaborating with stakeholders to identify use cases and deliver MVPs. Strong Python, SQL, and cloud/DevOps experience are required, with excellent English and Bahasa Indonesia communication.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field.
• 3-5 years of experience in AI, Machine Learning, Data Science, or Analytics.
• Strong Python skills (Pandas, NumPy, Scikit-learn) and experience with PyTorch or TensorFlow.
• Good SQL proficiency and experience working with enterprise datasets.
• Experience deploying and integrating ML/AI models through APIs, cloud services, or workflows.
• Understanding of model evaluation, explainability, responsible AI, and production support.
• Familiarity with Git, Agile methodologies, documentation, and code review practices.
• Strong communication skills in English and Bahasa Indonesia.
• Preferred: Experience with Azure AI, Azure ML, Azure OpenAI, Copilot Studio, Azure DevOps/GitHub Actions, and Microsoft security/governance tools.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions for business processes.
• Build predictive, classification, recommendation, extraction, summarization, and anomaly detection models.
• Develop AI agents and Retrieval-Augmented Generation (RAG) solutions.
• Perform data preparation, feature engineering, model training, validation, and monitoring.
• Develop data and model pipelines using Python and SQL.
• Monitor model performance, accuracy, drift, and operational issues after deployment.
• Maintain documentation on models, controls, and compliance requirements.
• Collaborate with business stakeholders to identify AI use cases and deliver prototypes/MVPs.
• Communicate AI outputs and recommendations in business-friendly language.

Skills

Python

SQL

Git

English

Bahasa Indonesia

Azure AI

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

APIs/Cloud

Education

Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Azure ML

Copilot Studio

Azure DevOps / GitHub Actions

Job description

At Ernst & Young we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At Ernst & Young you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference.

Requirements

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field.
• 3-5 years of experience in AI, Machine Learning, Data Science, or Analytics.
• Strong Python skills (Pandas, NumPy, Scikit-learn) and experience with PyTorch or TensorFlow.
• Good SQL proficiency and experience working with enterprise datasets.
• Experience deploying and integrating ML/AI models through APIs, cloud services, or workflows.
• Understanding of model evaluation, explainability, responsible AI, and production support.
• Familiarity with Git, Agile methodologies, documentation, and code review practices.
• Strong communication skills in English and Bahasa Indonesia.
• Preferred: Experience with Azure AI, Azure ML, Azure OpenAI, Copilot Studio, Azure DevOps/GitHub Actions, and Microsoft security/governance tools.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions for business processes.
• Build predictive, classification, recommendation, extraction, summarization, and anomaly detection models.
• Develop AI agents and Retrieval-Augmented Generation (RAG) solutions.
• Perform data preparation, feature engineering, model training, validation, and monitoring.
• Develop data and model pipelines using Python and SQL.
• Monitor model performance, accuracy, drift, and operational issues after deployment.
• Maintain documentation on models, controls, and compliance requirements.
• Collaborate with business stakeholders to identify AI use cases and deliver prototypes/MVPs.
• Communicate AI outputs and recommendations in business-friendly language.

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.