DataSpark Pte Ltd Hiring! Full Time #EG Machine Learning Engineer in - Ricebowl

Date: 2026-06-22

Location: Singapore, , Singapore

Company: NCS

Job Requisition ID: REF1653Q

Company Description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

We are seeking a Machine Learning Engineer to design, develop, deploy, and maintain machine learning models and data-driven solutions that solve complex business problems. The ideal candidate has strong software engineering skills, experience building machine learning systems at scale, and a passion for transforming data into actionable insights.

Key Responsibilities

Design, develop, and implement machine learning models and algorithms for production applications.
Build and maintain scalable data pipelines for data collection, preprocessing, feature engineering, and model training.
Evaluate, optimize, and monitor model performance using appropriate metrics and validation techniques.
Deploy machine learning models into production environments and ensure reliability, scalability, and maintainability.
Collaborate with data scientists, software engineers, product managers, and business stakeholders to define requirements and deliver solutions.
Conduct experiments and analyze results to improve model accuracy and business outcomes.
Implement model monitoring, retraining, and MLOps best practices.
Maintain documentation for models, datasets, workflows, and system architecture.
Stay current with advancements in machine learning, artificial intelligence, and related technologies.

Qualifications

Required Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
Experience in machine learning, software engineering, or related technical roles.
Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with SQL and working with large-scale datasets.
Knowledge of machine learning concepts, including supervised and unsupervised learning, model evaluation, feature engineering, and optimization techniques.
Experience deploying machine learning models in cloud or production environments.
Familiarity with software development best practices, version control, testing, and CI/CD pipelines.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Master's or PhD in a relevant technical field.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Knowledge of MLOps tools and practices, including model monitoring, orchestration, and automation.
Experience with distributed computing frameworks such as Spark or Ray.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Experience working with large language models (LLMs), generative AI, or deep learning systems.

Success Metrics

Development and deployment of high-performing machine learning models.
Improvement in model accuracy, efficiency, and business impact.
Reliability and scalability of machine learning systems in production.
Effective collaboration across engineering, data, and product teams.

Additional Information

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 ************* 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, ************* and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at *************

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