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ncs3

#EG Machine Learning Engineer

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Role Overview

We are seeking a skilled Machine Learning Engineer to design, develop, and deploy scalable machine learning solutions that support business and technology transformation initiatives.

Key Responsibilities

  • Develop and deploy machine learning models and algorithms
  • Perform data preprocessing, feature engineering, and model optimization
  • Integrate ML models into production systems using APIs and pipelines
  • Monitor model performance, ensure reliability, and manage model lifecycle
  • Collaborate with cross-functional teams to translate business requirements into ML solutions

Required Skills

  • Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of machine learning algorithms and statistics
  • Experience in data processing, model training, and deployment
  • Familiarity with cloud platforms (Azure/AWS/GCP)
  • Knowledge of version control (Git) and basic MLOps practices

Good to Have

  • Experience with Big Data tools (Spark, Hadoop)
  • Exposure to MLOps tools (MLflow, Docker, Kubernetes)
  • Knowledge of NLP, Deep Learning, or Computer Vision

Qualifications

  • Bachelor’s/Master’s degree in Computer Science, Data Science, or related field
  • Relevant experience in Machine Learning / AI projects

Why Join NCS

  • Lead high-impact AI management consulting programs for major enterprises and public sector clients.

  • Shape enterprise strategies and governance frameworks that drive real transformation.

  • Work with a talented, multidisciplinary team in a collaborative environment.

  • Competitive compensation and strong professional development support.

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

Scam Alert

We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.

Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at reachus@ncs.com.sg.