Senior Machine Learning Engineer (ML)

Location: Singapore, Singapore; on-site. Applicants must be Singapore Citizens or Permanent Residents of Singapore.

Company

hirify.global is a technology consultancy that helps clients solve complex business problems through software and technology.

What you will do

• Design and develop robust, scalable architectures and infrastructure for deploying and managing machine learning applications.
• Build and maintain ML pipelines, model training and deployment workflows, and monitoring and evaluation capabilities.
• Collaborate with data scientists, engineers, clients, and stakeholders to translate business needs into effective ML systems.
• Lead a functional stream of work, provide technical expertise, manage discussions, and ensure timely delivery.
• Explore and implement current ML tools, frameworks, and platforms while improving system performance, security, and reliability.
• Mentor engineers, facilitate collaborative problem solving, and contribute to the team’s ML strategy.

Requirements

• Singapore citizenship or Singapore Permanent Residency is required.
• Experience writing clean, maintainable, testable code and proficiency with Python or Shell scripting.
• Knowledge of distributed systems, scalable architectures, and ML application infrastructure.
• Experience building, deploying, and maintaining ML systems using tools such as Scikit-learn, TensorFlow, MLflow, Kubeflow, or PyTorch.
• Experience with MLOps, CI/CD for ML, infrastructure as code, monitoring, and ML model lifecycles.
• Hands-on experience with on-premise and cloud platforms such as Azure, AWS, GCP, or Databricks, plus strong stakeholder management and mentoring skills.

Culture & Benefits

• Career development is supported through interactive tools, development programs, and peer support.
• Autonomy is balanced with a collaborative cultivation culture.
• Continuous learning, technical excellence, and responsible use of AI are emphasized.

Hiring process

• Applications are reviewed by the recruitment team and selection decisions are made by interviewers and hiring managers.
• AI tools support administrative recruitment tasks but do not screen, assess, rank, or make hiring decisions.