Machine Learning Engineer

4 hours ago

Singapur, Singapore SCIENTE Full time

Direct message the job poster from SCIENTE We are seeking an experienced Machine Learning / AI Engineer to join a dynamic and multicultural team within a leading global financial institution at the forefront of digital transformation and innovation. This role involves designing, building, and deploying end-to-end machine learning solutions across international and cross-functional projects supporting strategic business functions across banking, finance, and risk domains. The ideal candidate will be hands-on in both model development and engineering scalable, production-grade ML systems, while ensuring alignment with AI governance and compliance standards. This is a 12 months contract hiring. Mandatory Skill-set Master’s degree in AI, Machine Learning, or Data Science; Must have 6+ years in data science and ML, including 3+ years in ML engineering lifecycle; Proficiency in Python and ML libraries (pandas, scikit-learn, TensorFlow/PyTorch); Must have experience with NoSQL databases; exposure to graph databases is a plus; Familiarity with MLOps tools such as MLflow, TFX, Airflow, Kubeflow; Cloud deployment experience such as AWS, GCP, or Azure; Strong grasp of supervised/unsupervised learning, NLP, time series analysis; CI/CD pipeline and containerization expertise (Docker, Kubernetes); Understanding of AI governance, model risk, and regulatory compliance and the ability to explain technical concepts to non-technical stakeholders; Desired Skill-set Knowledge of Responsible AI frameworks and fairness/bias testing; Experience with feature stores, model registries, and data versioning; Familiarity with data privacy, anonymization, and compliance in regulated sectors. Responsibilities Collaborate with data scientists and business teams to define ML solutions and build PoCs; Deploy and maintain ML models using MLOps best practices; Build scalable data pipelines and monitor model performance; Ensure models comply with internal AI policies and audit standards; Support feature engineering and occasional model development; Automate model retraining, testing, and performance tracking; Document workflows, governance checkpoints, and risk assessments; Work closely with DevOps, IT, and security teams to integrate ML solutions into enterprise platforms. Should you be interested in this career opportunity, please send in your updated resume to at the earliest. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website ( Confidentiality is assured, and only shortlisted candidates will be notified for interviews. EA Licence No. 07C5639 Seniority level Mid-Senior level Employment type Contract Job function Information Technology, Engineering, and Other Industries IT Services and IT Consulting, Financial Services, and Banking We are committed to equal employment opportunity and welcome applicants from diverse backgrounds. #J-18808-Ljbffr

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