AI Specialist Group Digital Transformation

DKSH Group; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading company seeks an AI Specialist to develop predictive models and lead data science projects. The role involves collaboration with cross-functional teams, applying machine learning techniques to drive business insights, and utilizing tools like Python and TensorFlow. Candidates must have at least 5 years of experience and a relevant bachelor's degree.

Qualifications

• 5+ years relevant experience in data science or analytics.
• Bachelor’s degree preferred with advanced degrees being a plus.
• Strong foundation in statistics and algorithms.

Responsibilities

• Develop predictive models and machine learning algorithms.
• Lead data science projects and collaborate with teams.
• Translate analytical insights into business recommendations.

Skills

Proficient in Python

Machine Learning

Data Visualization

Predictive Analytics

Problem-solving

Education

Bachelor’s degree in Data Science, Computer Science, Statistics

Tools

TensorFlow

PyTorch

Azure cloud platform

Docker

CI/CD

Job description

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Title: AI Specialist Group Digital Transformation

Location:

Kuala Lumpur, MY, MY

Global Business Unit: OTH

Job Function: Information Technology

Requisition Number: 188619

Description:

Job summary

As an AI Specialist, you will be responsible for developing predictive models, performing advanced analytics and generating insights that drive significant business impact.You will be collaborating with cross-functional teams, articulating complex data concepts in a business-friendly manner to stakeholders. You will also contribute to operational excellence and support new initiatives requiring AI-driven solutions.

General responsibilities

• Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions quickly and efficiently.
• Lead data science projects from ideation and data preparation to model development, deployment and monitoring.
• Develop and implement predictive models and machine learning algorithms using Python, TensorFlow or PyTorch
• Analyze complex datasets to extract insights and support data-driven decision making.
• Develop dashboards, visualizations, and impactful insights that support effective business decision making
• Collaborate closely with data engineers and cross functional teams to ensure seamless data integration and operational efficiency.
• Apply MLOps practices to manage and deploy models in production environments using Azure cloud platform and tools like Docker and CI/CD pipelines.
• Translate complex analytical insights into clear, business-oriented recommendations.
• Apply agile methodologies to manage and execute data science projects effectively.
• Stay updated with the latest trends in data science and proactively evangelize new technologies or methodologies to the organization

Leadership responsibilities

• Able to influence opinions and decisions when working closely with internal and external stakeholders.
• Identify, solve issues to ensure projects stay on track and meet objectives
• Effective communication with both technical and non-technical stakeholders
• Ensure collaboration with cross-functional teams and stakeholders to ensure smooth project execution and achievement of business goals.

Functional skills and knowledge

• Proficient in Python, Tensorflow or PyTorch
• Strong foundation in statistics, machine learning, algorithms and data structures
• Strong experience with data visualization tools
• Demonstrated experience in predictive analytics, operational excellence and generating customer insights
• Solid understanding or Agile / Scrum methodologies
• Experience with MLOps practices, including model deployment, monitoring and CI/CD for data science workflows
• Knowledge of modern AI techniques, including generative AI and advance machine learning methods.
• Strong problem-solving and analytical thinking skills

Preferred skills

• Experience with MLOps tools (e.g. MLflow or similar frameworks).
• Familiarity with containerization and orchestration tools (e.g. Docker)
• Ability to work independently and manage multiple projects simultaneously.
• Innovative mindset and a passion for continuous learning and introducing new technologies.

Education

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are a plus.

Work experience

• Minimum of 5 years relevant experience in data science, analytics or related areas