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Data Scientist

EY

Kuala Lumpur

On-site

MYR 200,000 - 250,000

Full time

4 days ago
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Job summary

A global professional services firm in Kuala Lumpur seeks an AI Modeller to design, build, and deploy advanced AI/ML models. Responsibilities include developing training pipelines, evaluating models, and deploying them in production. The ideal candidate has expertise in Python and Machine Learning frameworks such as TensorFlow and PyTorch. This role offers a flexible environment to shape your future with confidence.

Qualifications

  • Experience with NLP, computer vision, or generative AI.
  • Understanding of GPU acceleration and parallel processing.
  • Familiarity with cloud-based AI services (AWS AI/ML, Azure AI, Google AI Platform).

Responsibilities

  • Develop, train, and validate machine learning and deep learning models.
  • Preprocess and engineer features from large datasets.
  • Evaluate model performance using statistical metrics.
  • Implement and optimize model training pipelines.
  • Deploy models into production environments.
  • Monitor and maintain model performance post-deployment.

Skills

Python proficiency
ML/DL libraries (TensorFlow, PyTorch, Scikit-learn)
Data preprocessing and feature engineering
MLOps tools (MLflow, Kubeflow, SageMaker)
Distributed computing
Working with structured, semi-structured, and unstructured data

Job description

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

We are seeking a technically strong AI Modeller to design, build, and deploy advanced AI/ML models for real-world applications. You will be responsible for the full AI development lifecycle—from data preparation to model deployment—working closely with data engineers, application developers, and domain experts. This role is highly execution-focused, with minimal non-technical responsibilities.

Your key responsibilities

  • Develop, train, and validate machine learning and deep learning models for various use cases.
  • Preprocess and engineer features from large and complex datasets.
  • Evaluate model performance using statistical and ML-specific metrics.
  • Implement and optimize model training pipelines for efficiency and scalability.
  • Deploy models into production environments, integrating with APIs and applications.
  • Monitor and maintain model performance post-deployment, retraining as necessary.
  • Stay updated with latest AI frameworks, algorithms, and tools.
  • Document AI workflows, experiments, and deployment processes.

Skills and attributes for success

Ideally, you’ll also have

  • Strong proficiency in Python and ML/DL libraries (TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
  • Experience with data preprocessing, feature engineering, and model optimization.
  • Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker) for production-grade deployments.
  • Knowledge of distributed computing for large-scale model training.
  • Ability to work with structured, semi-structured, and unstructured data.

What we look for

  • Experience with NLP, computer vision, or generative AI.
  • Understanding of GPU acceleration and parallel processing.
  • Familiarity with cloud-based AI services (AWS AI/ML, Azure AI, Google AI Platform)

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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