Senior Machine Learning Engineer / Machine Learning Engineer

Avensys Consulting; Singapore; On-site; SGD 90,000 - 170,000; Full time

Job summary

Avensys Consulting in Singapore is seeking an experienced Machine Learning Engineer to design, deploy, and maintain ML solutions across business units. You will collaborate with data scientists, data engineers, software engineers, and stakeholders to bring models from experimentation to production.

The role emphasizes MLOps, cloud platforms, Python, and deep learning; you will implement monitoring, governance, and data quality practices, and contribute to a scalable ML lifecycle.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• Experience with MLOps processes and tools.
• Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.
• Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.
• Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.
• Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.
• Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.

Responsibilities

• Managing MLOps workflows, tools, and production support processes for ML solutions.
• Ensure day-to-day stability, reliability, and performance of ML models and pipelines.
• Manage model lifecycle controls, including versioning, lineage, reproducibility, monitoring, and governance.
• Develop incident handling, recovery, and escalation procedures for ML-related issues.
• Support data quality, lineage tracking, and governance practices across the ML lifecycle.
• Strong MLOps and production operations focus

Skills

MLOps

Python

SQL

Data analysis

Communication

Problem solving

Education

Bachelor's degree in CS

Master's degree in CS

Tools

MLflow

Databricks

Azure ML

Power BI

Tableau

Git

CI/CD

Job description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain

Position Summary

We are looking for an experienced Machine Learning Engineer to design, develop, deploy, and maintain machine learning solutions that solve complex business problems. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Deep Learning, data processing, model development, MLOps, and cloud platforms. The role involves working closely with data scientists, data engineers, software engineers, and business stakeholders to take ML models from experimentation through production.

Responsibilities :

• Responsible for managing MLOps workflows, tools, and production support processes for ML solutions.
• Ensure day-to-day stability, reliability, and performance of ML models and pipelines.
• Manage model lifecycle controls, including versioning, lineage, reproducibility, monitoring, and governance.
• Develop incident handling, recovery, and escalation procedures for ML-related issues.
• Support data quality, lineage tracking, and governance practices across the ML lifecycle.
• Strong MLOps and production operations focus

Make an Impact by:

• Responsible for designing, implementing, and managing MLOps workflows, tools, and operational processes for ML and GenAI solutions.
• Oversee the day-to-day stability, reliability, and operational health of ML models and ML pipelines.
• Manage model lifecycle operations, including model registration, versioning, deployment tracking, lineage, reproducibility, and governance.
• Implement monitoring for data drift, concept drift, model performance degradation, inference quality, and service-level issues.
• Set up dashboards and alerts to track model health, data quality, inference behaviour, and operational metrics.
• Develop and execute incident handling, recovery, rollback, and escalation plans for ML-related issues.
• Plan and implement data quality, dataset versioning, and lineage tracking solutions across the ML lifecycle.
• Support data governance discussions, documentation, controls, and policies relating to ML models, datasets, and production usage.

Skills for Success:

• Bachelor's or Master's degree in Computer Science or a related field
• Experience with MLOps processes and tools
• Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.
• Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.
• Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.
• Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.
• Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.
• Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.
• Analytical and pragmatic, with the ability to interpret governance principles into implementation plans
• Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders
• Self-driven and proactive, comfortable working in a fast-paced environment
• Familiarity with ML and data development process in telco environment

WHAT'S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

Your interest will be treated with strict confidentiality.

Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.