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We are partnering with a leading technology services organisation to hire a Data Scientist / Machine Learning Engineer who is passionate about turning data into actionable business insights and building machine learning solutions at scale.
This is an excellent opportunity to work on enterprise-level data and AI initiatives while collaborating with stakeholders, data engineers, and technology teams across the business.
What You'll Be Doing
• Develop, train, and optimize machine learning models for predictive and classification use cases
• Perform exploratory data analysis, feature engineering, and model validation
• Translate business challenges into data-driven solutions and actionable recommendations
• Design experiments, statistical analyses, and hypothesis testing frameworks
• Create compelling visualizations and insights for business stakeholders
• Monitor and improve machine learning models in production environments
• Work closely with data engineering teams to build scalable analytical solutions
What We're Looking For
• Min 3+ years of experience in Data Science, Machine Learning, AI, or related fields
• Strong hands-on experience with Python and SQL
• Solid understanding of machine learning algorithms, statistics, and predictive analytics
• Experience deploying ML models in production environments
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Strong communication skills with the ability to engage both technical and business stakeholders
Bonus Points
• Experience with Databricks, Spark, Airflow, Azure Data Factory, or AWS Glue
• Familiarity with MLOps, Docker, Kubernetes, or CI/CD practices
• Exposure to Generative AI, LLMs, or AI foundation models
Why Apply
✅ High-impact AI and machine learning projects
✅ Opportunity to work with enterprise-scale datasets
✅ Collaborative and innovative environment
✅ Attractive compensation package
✅ Exposure to modern cloud and AI technologies
Important Eligibility Requirement
This position supports a government-regulated project and is subject to mandatory security clearance requirements.
Applicants must be eligible to obtain and maintain the required security clearance as part of the project onboarding process. Candidates who do not meet the client's clearance eligibility requirements will not be able to be considered for this role.
If you are passionate about technology, enjoy solving problems, and want to build your career within a professional enterprise IT environment, we would love to hear from you.
How To Apply:
Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)
by clicking the Apply Now or email to [Confidential Information] for a confidential discussion
Current & Expected Salary
Reason(s) for leaving
Notice Period / Availability to commence work
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Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.
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Job ID: 149158209
Skills:
Azure Databricks, Kubernetes, Python, Sql, AI Foundry, AI Search
Skills:
bedrock , BigQuery, Sql, Tensorflow, Pandas, Pytorch, Gcp, Terraform, Kubernetes, Python, AWS, Airflow, GKE, scikit-learn, Pub Sub, SageMaker, Cloud Run, Vertex AI, Kubeflow, Vertex Pipelines
Skills:
Distributed Systems, Spark, Python, Airflow, data pipelines, workflow orchestration, model deployment, Flink, production data infrastructure, data infrastructure, production system reliability, Production Support, inference monitoring, ML systems
Skills:
Machine Learning, Spark, Databricks, Predictive Analytics, Python, Sql, Airflow, Statistics
Skills:
model selection , Tensorflow, Version Control, Pytorch, Python, Testing, Data preprocessing, Documentation, Feature engineering, Mathematical concepts, LLM orchestration frameworks, AI agents, Agentic workflows
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