AI Solutions Specialist

Innovations & Service Delivery; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A technology firm in Malaysia is looking for an experienced AI and ML engineer to architect and optimize models using Azure services. This role requires at least 3 years of experience and expertise in Azure Machine Learning and AI governance. You will lead deployment efforts, design AI pipelines, and mentor junior engineers. Strong analytical and problem-solving skills are essential. Join us to stay ahead of industry trends and deliver innovative AI solutions.

Qualifications

• Minimum 3 years of experience in ML/DL/AI engineering or cloud platforms.
• Proven experience in AI and machine learning model development.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Architect, develop, and optimize AI and machine learning models using Azure technologies.
• Lead the deployment of AI solutions in cloud services.
• Design and implement AI pipelines and automation workflows.

Skills

Machine Learning

Artificial Intelligence

Cloud Computing

Azure

Data Analysis

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Azure Machine Learning

Cognitive Services

Open AI

Azure DevOps

MLflow

CI/CD

Azure Databricks

Azure Synapse Analytics

Azure Data Factory

Job description

Innovations & Service Delivery – Kuala Lumpur, Kuala Lumpur

• Architect, develop, and optimize AI and machine learning models using Azure Machine Learning, Cognitive Services, and Open AI.
• Lead the deployment of AI solutions in Azure Kubernetes Services (AKS), Azure Functions, and serverless architectures.
• Design and implement AI pipelines, MLOps workflows, and automation using Azure DevOps, MLflow, and CI/CD tools.
• Work with Azure Databricks, Azure Synapse Analytics, and Azure Data Factory to support AI model training and large-scale data processing.
• Optimize AI solutions for performance, stability, and cost efficiency in cloud environments.
• Implement AI governance, security, and responsible AI frameworks in compliance with industry standards.
• Research and integrate cutting-edge AI technologies, including deep learning, NLP, and generative AI models.
• Collaborate with data engineers, software developers, and business teams to integrate AI into enterprise applications.
• Mentor junior AI engineers and contribute to best practices for AI development within the organization.
• Stay ahead of the industry trends and advancements in Azure AI, GPT models, and AI ethics.

Job Requirements

• Minimum 3 years of experience in ML/DL/AI engineering or cloud platforms.
• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• Proven experience in AI and machine learning model development.
• Expertise in Azure Machine Learning, Cognitive Services, and Open AI.
• Proficiency in AI pipelines, MLOps workflows, and automation (Azure DevOps, MLflow, CI/CD).
• Familiarity with Azure Databricks, Synapse Analytics, Data Factory, deep learning, NLP, and generative AI (added advantage).
• Experience with AKS, Azure Functions, and serverless architectures.
• Knowledge of AI governance, security, and responsible AI frameworks.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and handle changing priorities.

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