Machine Learning Engineer

1 day ago

Central Region, Singapore Adecco Personnel Pte Ltd. Full time $120,000 - $200,000 per year

We are seeking a highly skilled and experienced Machine Learning / AI Engineer to join our dynamic and multicultural environment. The ideal candidate will have a strong foundation in data science, applied machine learning, and MLOps, with the ability to design, build, and deploy end-to-end ML solutions. This role combines technical expertise with cross-functional collaboration to deliver scalable and responsible AI systems aligned with organizational standards and compliance requirements.

Job Responsibilities
  • Collaborate with data scientists and business stakeholders to define ML solutions and develop Proof of Concepts (POCs).
  • Design, build, and deploy production-grade machine learning models using MLOps best practices (versioning, CI/CD, monitoring, retraining).
  • Build and maintain scalable data pipelines to support model performance and system efficiency.
  • Ensure all models adhere to organizational AI governance, compliance, and ethical AI practices.
  • Support data exploration, feature engineering, and model optimization as needed.
  • Automate processes for model retraining, validation, and monitoring to maintain performance over time.
  • Document ML workflows, governance checkpoints, and model risk assessments.
  • Collaborate with DevOps, IT, and security teams to integrate ML systems into enterprise infrastructure.
  • Communicate technical solutions and results clearly to both technical and non-technical audiences.
  • Work independently while maintaining strong alignment with key project stakeholders.
Job Requirements

Mandatory:

  • Master's degree in Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Minimum 6+ years of experience in data science and machine learning, including at least 3+ years in ML engineering roles.
  • Proven experience in end-to-end ML lifecycle - from data preparation and model development to deployment and monitoring.
  • Strong programming skills in Python (pandas, scikit-learn, TensorFlow, PyTorch, etc.).
  • Hands-on experience with MLOps tools (MLflow, Airflow, TFX, Kubeflow, etc.).
  • Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment.
  • Strong understanding of NoSQL databases; exposure to graph databases is advantageous.
  • Experience with CI/CD pipelines and containerization tools (Docker, Kubernetes).
  • Solid understanding of AI governance, model risk management, and compliance principles.
  • Excellent communication skills with the ability to explain technical concepts to diverse audiences.

Preferred:

  • Experience implementing Responsible AI frameworks and performing bias/fairness assessments.
  • Familiarity with feature stores, model registries, and data versioning.
  • Understanding of data privacy, anonymization, and compliance best practices.

Professional Skills and Mindset:

  • Strong analytical and problem-solving abilities.
  • Excellent organizational and interpersonal communication skills.
  • Eagerness to learn and adopt emerging technologies.
  • Familiarity with software development life cycle and Agile methodologies.
  • Collaborative mindset with respect for cultural diversity and global teamwork.

Next Step:

If interested, you can click on "Apply here" or write an e-mail to with your updated resume.

NOTE: - Only shortlisted candidates will be contacted back.

Dimple Jain

Direct Line:

EA License No: 91C2918

Personnel Registration Number: R

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