Machine Learning Lead (APAC)

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

Job summary

A leading technology firm based in Kuala Lumpur is seeking a visionary Machine Learning Lead to architect and deploy cutting-edge AI and machine learning solutions using technologies like Azure Machine Learning and OpenAI APIs. The role requires expertise in developing secure architectures and integrating AI capabilities into enterprise applications. The ideal candidate should have strong collaboration skills to guide cross-functional teams and mentor junior staff while ensuring ethical AI practices and compliance with regulations.

Qualifications

• Strong expertise in Azure Machine Learning and Generative AI technologies.
• Proven experience in architecting AI/ML solutions.
• Ability to work with cross-functional teams and mentor junior members.

Responsibilities

• Lead the design and deployment of AI/ML solutions.
• Collaborate with data scientists and engineers.
• Establish governance frameworks for ethical AI practices.

Skills

Azure Machine Learning

Generative AI

OpenAI APIs

Machine Learning

Data integration

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

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Legal Disclosures

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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