Machine Learning Lead - up to RM 15k

• Hybrid Work Arrangement
• Global Presence
• Great Benefits
  
  

about the company

Randstad has recently partnered with a digital solutions and consulting company, promoting growth and scaling for businesses and organisations on a global scale. Your future employers value the partnership of modern technology with reliable solutions.

key responsibilities:

• End-to-End Model Development: Architect, build, and deploy machine learning models completely from scratch to address complex, high-impact business challenges.

• Azure ML Architecture: Lead the technical execution and deployment of scalable machine learning pipelines within our Microsoft Azure ecosystem.

• Stakeholder Management: Act as the primary bridge between technical teams and business units. Translate business requirements into technical ML strategies and communicate complex model outcomes to non-technical leadership.

• AI Governance & Compliance: Implement and champion AI governance best practices. Ensure all models adhere to internal security, ethical, bias, and compliance standards throughout the model lifecycle.

• Technical Execution: Drive all phases of the machine learning lifecycle, including data extraction, exploratory data analysis, feature engineering, model training, tuning, and production monitoring.
  
  

requirements:

• Experience: 4+ years of professional, hands-on experience in Machine Learning, Data Science, or AI Engineering.

• Custom Model Building: Proven track record of building and training custom ML models from scratch (beyond implementing off-the-shelf APIs or pre-trained models).

• Cloud Infrastructure: Deep, practical experience developing and deploying models on Microsoft Azure (e.g., Azure Machine Learning, Azure Synapse).

• AI Governance: Demonstrated exposure to AI governance frameworks, model risk management, and ethical AI practices.

• Communication & Stakeholder Alignment: Exceptional stakeholder management skills with a proven ability to influence business decisions, manage expectations, and drive cross-functional alignment.

• Technical Stack: Advanced proficiency in Python, SQL, and industry-standard machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
  
  

nice to haves:

• Hands-on experience working with Databricks and/or Snowflake.

• Prior experience in a leadership capacity, whether through formal team management, project squad leadership, or actively mentoring junior data scientists and engineers.

how to apply

Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.

Sundar Ravindran | Randstad