EY AI & Data - Scientist GenAI Experienced Hire 

Malaysia, Kuala Lumpur 

496904714

Key Responsibilities:

• Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.

• Collaborate with stakeholders to understand business problems and translate them into analytical solutions.

• Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.

• Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.

• Build and manage reusable ML pipelines and support MLOps practices to operationalize models.

• Mentor junior data scientists and contribute to capability building within the team.

• Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.

• Present findings and insights in a clear, compelling way to business and technical audiences.

Skills and Attributes for Success:

• Strong analytical and problem-solving skills with the ability to think strategically and act tactically.

• Proficiency in Python or R, with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.

• Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.

• Solid understanding of NLP, deep learning, and data modeling techniques.

• Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).

• Excellent communication and stakeholder engagement skills.

To qualify for the role, you must have:

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.

• For Senior Associate: Minimum 2+ years of hands-on experience in data science or AI projects.

• For Manager to Senior Managers: 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.

• Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.

• Experience working with large language models (LLMs) and/or vector databases is a strong advantage.

Ideally, you’ll also have:

• Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).

• Experience with responsible AI practices, explainability, and AI ethics.

• Previous consulting or client-facing experience, ideally in cross-industry engagements.

What we look for

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

What we offer

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.