Machine Learning Lead
On-site · Kuala Lumpur, Kuala Lumpur, Malaysia
Job Summary
Lead the design, development, and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and Generative AI. Architect end-to-end AI/ML solutions, develop scalable architectures, define model training/deployment pipelines, and optimize performance for latency, scalability, and accuracy. Integrate Generative AI into enterprise applications and APIs, establish governance for ethical AI and data privacy, monitor deployed solutions, and mentor junior engineers. Collaborate with data scientists, engineers, and business stakeholders to align AI/ML initiatives with business objectives. Additionally, contribute to application development projects for a client in the Alcohol, Tobacco, and Sanitary industry. ”,
Required Qualifications
- 8+ years of experience designing and deploying machine learning solutions on Azure Machine Learning
- Strong experience with OpenAI APIs (GPT, Codex, DALLE)
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn
- Hands-on experience with MLOps practices including CI/CD pipelines for ML, model versioning, and deployment automation
- Knowledge of Azure services (Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows
- Understanding of microservices architecture, API development, and cloud-native solution design
- Experience with big data technologies (Spark, Databricks) and their application in ML workflows
- Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection
- Strong problem-solving and analytical thinking; excellent communication and stakeholder management
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