Title: Senior Specialist AI Engineer (MLOps)
Kuala Lumpur, MY, MY
About the Role
What You Will Deliver
- Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions with speed and efficiency.
- Lead data science projects end-to-end, from ideation and data preparation through to model development, deployment, and performance monitoring.
- Develop and implement predictive models and machine learning algorithms using Python, TensorFlow, or PyTorch.
- Analyze complex datasets to uncover actionable insights that support data-driven decision-making across the business.
- Build dashboards and visualizations that communicate impactful insights and enable informed business decisions.
- Apply Machine Learning Operations (MLOps) practices to manage and deploy models in production environments using the Azure cloud platform, Docker, and Continuous Integration/Continuous Delivery (CI/CD) pipelines.
- Translate complex analytical findings into clear, business-oriented recommendations for both technical and non-technical stakeholders.
- Apply Agile methodologies to plan and execute data science projects effectively and on schedule.
- Stay current with emerging trends in data science and proactively champion new technologies and methodologies within the organization.
- Influence stakeholder opinions and decisions by articulating complex concepts in accessible, business-friendly language.
- Administrative duties and coordination tasks as required.
What You Bring
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field; advanced degrees or relevant certifications are advantageous.
- Minimum 5 years of relevant experience in data science, analytics, or related areas.
- Proficiency in Python, TensorFlow, or PyTorch.
- Strong foundation in statistics, machine learning, algorithms, and data structures.
- Demonstrated experience with data visualization tools to communicate insights effectively.
- Experience in predictive analytics and operational excellence.
- Solid understanding of Agile and Scrum methodologies.
- Experience with MLOps practices, including model deployment, monitoring, and CI/CD for data science workflows.
- Knowledge of modern Artificial Intelligence (AI) techniques, including generative AI and advanced machine learning methods.
- Strong problem-solving and analytical thinking skills.
- Experience with MLOps tools such as MLflow or similar frameworks.
- Familiarity with containerization and orchestration tools such as Docker.
- Ability to work independently and manage multiple projects simultaneously.
- Innovative mindset with a passion for continuous learning and introducing new technologies.
Why Join DKSH