Machine Learning Lead (APAC)

Avanade Inc.; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Job summary

A leading technology consulting firm is looking for a highly skilled Machine Learning Lead in Kuala Lumpur. This role involves designing and deploying AI/ML solutions using Azure ML and OpenAI APIs, collaborating with cross-functional teams, and mentoring junior staff. The ideal candidate will have strong experience in machine learning model development and governance practices. Competitive compensation packages will be provided.

Qualifications

• Proven experience leading AI/ML solution design and deployment.
• Expertise in Azure ML and Generative AI.
• Strong leadership skills and ability to mentor junior team members.

Responsibilities

• Architect and design AI/ML solutions utilizing Azure ML and OpenAI APIs.
• Collaborate with data scientists and engineers on model development.
• Establish governance frameworks for ethical AI practices.

Skills

Azure Machine Learning

OpenAI APIs

Generative AI technologies

Model Development

Governance and Compliance

Cross-functional collaboration

Job description

Summary

We are seeking a highly skilled and visionary Machine Learning Lead to lead the design, development, and deployment of cutting‑edge AI/ML solutions using Azure Machine Learning, OpenAI APIs, and Generative AI technologies.

Key Responsibilities Solution Design and Architecture: Architect and design end-to-end AI/ML solutions leveraging Azure ML, OpenAI APIs, and other Generative AI technologies. Develop scalable and secure architectures for AI solutions that integrate with existing enterprise systems and workflows. Define and implement best practices for model development, training, and deployment pipelines. Evaluate and select appropriate Generative AI models (e.g., GPT, DALLE) based on business needs, ensuring alignment with use case requirements. Model Development and Deployment: Collaborate with data scientists, engineers, and business stakeholders to design, develop, and fine‑tune machine learning models. Create and deploy pipelines for model training, evaluation, and monitoring in Azure ML. Optimize model performance for latency, scalability, and accuracy, ensuring compliance with organizational standards. AI Integration and Innovation: Integrate Generative AI solutions with enterprise applications, APIs, and data sources. Leverage OpenAI’s APIs to implement conversational AI, document summarization, image generation, or other innovative use cases. Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization’s AI capabilities. Governance and Compliance: Establish governance frameworks to ensure ethical AI practices, data privacy, and regulatory compliance. Implement monitoring and logging mechanisms for deployed ML solutions to ensure transparency and reliability. Collaboration and Leadership: Partner with cross‑functional teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives. Mentor junior team members and provide technical guidance on best practices in AI/ML development and deployment. Communicate complex AI concepts to non‑technical stakeholders, fostering a culture of innovation and understanding.

Equal Employment Opportunity Statement

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