AI & Data - Data Scientist (GenAI), Experienced Hire
Indexed description
We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full-time basis role and is based in our Kuala Lumpur, Malaysia office
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.
- 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.
- 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.
- 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.
- 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
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.
Create a free Caio profile to unlock the full index and keep your job-search signal for future recommendations.
Unlock free search