Machine Learning Engineer

We’re hiring a Machine Learning Engineer to design and deploy end-to-end ML pipelines for healthcare data at scale. Your work will directly contribute to better patient outcomes and smarter healthcare systems.

Your Role

• Collaborate with data scientists and engineers to deliver production-ready ML solutions.
• Develop automated workflows for data prep, training, deployment, and monitoring.
• Integrate GenAI and cutting-edge ML frameworks to enhance healthcare analytics.
• Ensure compliance with data privacy and security standards.

What You Bring

• 5+ years of software development experience in any one of the stacks (Python, Java, C++).
• 3+ years building scalable ML infrastructure and MLOps pipelines.
• 3+ years of developing large-scale model inference using Spark, EMR, or Databricks
• 3 years hands-on experience with Airflow, Kubeflow, MLflow, or any orchestration tools.
• Experience with CI/CD/DevOps tools (Jenkins, Terraform, CloudFormation)
• Experience with any of the ML libraries (Scikit-learn, PyTorch, or TensorFlow)

Why This Role Rocks

• Work on mission-driven projects that improve lives.
• Opportunity to work with global counterparts on transformative healthcare projects.

We’re proud to have won the 2023 HR Vendors of the Year awards for Best Executive Search Firm, Best Mid-Management Recruitment Firm, Best Recruitment Outsourcing Partner, and Leader of the Year for Ruby Celine, Salt Malaysia Country Director.

At Salt, our mission is Creating Futures by putting our clients, candidates, partners, and team members at the heart of everything we do. We extend our sincere appreciation to everyone who has contributed to our continued success.