- Tanjong Pagar Central Region (Singapore) Singapore
Kerja Sepenuh Masa Machine Learning Engineer (Ops), Gaji tinggi SGD 13,000 di NEWBRIDGE ALLIANCE PTE. LTD. Central Region (Singapore) - Maukerja
Machine Learning Engineer (Ops)
NEWBRIDGE ALLIANCE PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
You will build trusted data and trusted AI - ensuring our clients data is accurate, compliant, and governed, and our ML models are reproducible, monitored, and responsibly deployed to production.
This role is 50% Data Governance, 50% MLOps / ML Platform Governance.
Key Responsibilities
A. Data Governance (50%)
Framework & Stewardship
Design and run enterprise Data Governance framework, policies, and RACI for data owners/stewards
Establish Data Governance Council and operating model across Product, Engineering, Analytics, and Business
Define KPIs: catalog coverage, data quality score, policy adherence
Data Quality, Catalog & Lineage
Implement business glossary, data catalog (Collibra / Alation / Purview / DataHub), and end-to-end lineage
Define and monitor data quality rules, SLAs, anomaly detection for critical domains (Customer, Product, Transaction)
Manage data classification, PII/PHI tagging, retention, and access control policies
Compliance & Security
Ensure compliance with PDPA, GDPR, CCPA and internal security standards
Partner with DPO / Legal / GRC for consent, purpose limitation, anonymization, and audit readiness
Own access governance - RBAC/ABAC for data warehouse, lakehouse, and feature store
B. MLOps & AI Governance (50%)
ML Lifecycle & Platform
Own MLOps best practices: from feature engineering - > training - > validation - > deployment - > monitoring
Build and manage ML platform components: Feature Store (Feast / Tecton / SageMaker Feature Store), Model Registry (MLflow / SageMaker Model Registry), Experiment Tracking
Standardize CI/CD/CT for ML with Git, Docker, Airflow / Kubeflow / SageMaker Pipelines
Model Governance & Responsible AI
Implement Model Governance: model inventory, model cards, lineage (data - > features - > model - > endpoint), approval workflows
Enforce responsible AI checks: bias/fairness, explainability, drift, and reproducibility
Align with AI Governance frameworks: NIST AI RMF, Singapore Model AI Governance Framework, AI Verify, ISO 42001
Monitoring & Operations
Implement monitoring for data drift, concept drift, feature skew, and model performance degradation
Set up alerting, automated retraining triggers, and rollback strategies
Optimize model serving costs, latency, and scalability on AWS / Azure / GCP
Tech Stack You Will Work With
Governance:
Collibra, Alation, Purview, Informatica, DataHub, AWS Glue, Apache Atlas
Data:
Snowflake / BigQuery / Redshift, S3 / GCS, dbt, Airflow, Spark, Kafka
MLOps:
MLflow, Kubeflow, SageMaker, Vertex AI, Feast, Evidently, Great Expectations, Docker, Kubernetes, GitHub Actions
Languages:
Python (must), SQL (must), PySpark
Requirements
6-10 years total in Data Engineering / Data Governance / MLOps
At least 2+ years owning data governance and at least 2+ years deploying ML models to production
Strong hands-on with DAMA-DMBOK and MLOps principles
Proven experience setting up Model Registry, Feature Store, and monitoring for production ML systems
Deep understanding of PDPA/GDPR, data security, and AI risk
Excellent stakeholder management - you can talk to both Data Scientists and Risk/Legal
Nice-to-Have
CDMP, AWS Certified ML Specialty, or similar
Experience with LLM / GenAI governance - prompt logging, RAG governance, hallucination monitoring
Experience with Great Expectations, Monte Carlo, Evidently AI
Industry experience in Media, FinTech, or other regulated industry
What Success Looks Like in 12 Months
Top 5 data domains governed with SLAs and quality monitoring >95%
100% of production models registered with model cards, lineage, and approval workflow
Automated drift detection live for all critical models with < 2hr alert SLA
Data catalog adoption >80% and zero compliance audit findings
Newbridge is a premier executive search firm that serves the leadership needs of some of the world's best-known multinationals, local blue chips and venture-back startups across Asia-Pacific. Headquartered in Singapore, Newbridge offers services in Executive Search, Board Consulting, and Leadership Strategy services.
Newbridge Career link - *************
This role is 50% Data Governance, 50% MLOps / ML Platform Governance.
Key Responsibilities
A. Data Governance (50%)
Framework & Stewardship
Design and run enterprise Data Governance framework, policies, and RACI for data owners/stewards
Establish Data Governance Council and operating model across Product, Engineering, Analytics, and Business
Define KPIs: catalog coverage, data quality score, policy adherence
Data Quality, Catalog & Lineage
Implement business glossary, data catalog (Collibra / Alation / Purview / DataHub), and end-to-end lineage
Define and monitor data quality rules, SLAs, anomaly detection for critical domains (Customer, Product, Transaction)
Manage data classification, PII/PHI tagging, retention, and access control policies
Compliance & Security
Ensure compliance with PDPA, GDPR, CCPA and internal security standards
Partner with DPO / Legal / GRC for consent, purpose limitation, anonymization, and audit readiness
Own access governance - RBAC/ABAC for data warehouse, lakehouse, and feature store
B. MLOps & AI Governance (50%)
ML Lifecycle & Platform
Own MLOps best practices: from feature engineering - > training - > validation - > deployment - > monitoring
Build and manage ML platform components: Feature Store (Feast / Tecton / SageMaker Feature Store), Model Registry (MLflow / SageMaker Model Registry), Experiment Tracking
Standardize CI/CD/CT for ML with Git, Docker, Airflow / Kubeflow / SageMaker Pipelines
Model Governance & Responsible AI
Implement Model Governance: model inventory, model cards, lineage (data - > features - > model - > endpoint), approval workflows
Enforce responsible AI checks: bias/fairness, explainability, drift, and reproducibility
Align with AI Governance frameworks: NIST AI RMF, Singapore Model AI Governance Framework, AI Verify, ISO 42001
Monitoring & Operations
Implement monitoring for data drift, concept drift, feature skew, and model performance degradation
Set up alerting, automated retraining triggers, and rollback strategies
Optimize model serving costs, latency, and scalability on AWS / Azure / GCP
Tech Stack You Will Work With
Governance:
Collibra, Alation, Purview, Informatica, DataHub, AWS Glue, Apache Atlas
Data:
Snowflake / BigQuery / Redshift, S3 / GCS, dbt, Airflow, Spark, Kafka
MLOps:
MLflow, Kubeflow, SageMaker, Vertex AI, Feast, Evidently, Great Expectations, Docker, Kubernetes, GitHub Actions
Languages:
Python (must), SQL (must), PySpark
Requirements
6-10 years total in Data Engineering / Data Governance / MLOps
At least 2+ years owning data governance and at least 2+ years deploying ML models to production
Strong hands-on with DAMA-DMBOK and MLOps principles
Proven experience setting up Model Registry, Feature Store, and monitoring for production ML systems
Deep understanding of PDPA/GDPR, data security, and AI risk
Excellent stakeholder management - you can talk to both Data Scientists and Risk/Legal
Nice-to-Have
CDMP, AWS Certified ML Specialty, or similar
Experience with LLM / GenAI governance - prompt logging, RAG governance, hallucination monitoring
Experience with Great Expectations, Monte Carlo, Evidently AI
Industry experience in Media, FinTech, or other regulated industry
What Success Looks Like in 12 Months
Top 5 data domains governed with SLAs and quality monitoring >95%
100% of production models registered with model cards, lineage, and approval workflow
Automated drift detection live for all critical models with < 2hr alert SLA
Data catalog adoption >80% and zero compliance audit findings
Newbridge is a premier executive search firm that serves the leadership needs of some of the world's best-known multinationals, local blue chips and venture-back startups across Asia-Pacific. Headquartered in Singapore, Newbridge offers services in Executive Search, Board Consulting, and Leadership Strategy services.
Newbridge Career link - *************
Peringatan Penting
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