Machine Learning Engineer

AVENSYS CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Avensys Consulting PTE. LTD. is seeking a Machine Learning Engineer to design, implement, and operate MLOps workflows and production ML pipelines in a dynamic Singapore-based team.

You will ensure model stability, governance, and data quality, while deploying robust monitoring and incident response across the 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 with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML.

Responsibilities

• Manage MLOps workflows, tools, and production support for ML solutions.
• Ensure stability, reliability, and performance of ML models and pipelines.
• Manage model lifecycle: registration, versioning, deployment tracking, lineage, governance.
• Implement monitoring for data drift, model drift, and performance issues.
• Set up dashboards and alerts for model health and data quality.

Skills

MLOps

SQL

Databricks

MLflow

Power BI

Tableau

CI/CD

Git

Governance

Model lifecycle

Education

CS degree

Tools

Power BI

Tableau

Databricks SQL

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.

We are currently looking to hire Machine Learning Engineer This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Description

Position Summary

• 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

Overview

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.

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