Machine Learning Operations Platform Lead

TENTEN PARTNERS PTE. LTD; Singapore; On-site; SGD 170,000 - 210,000; Full time

Job summary

A leading global firm seeks an AI/ML Engineer to contribute to the development of a cutting-edge AI/ML platform. The role focuses on ML model deployment, monitoring, and compliance. Ideal candidates will have a strong background in MLOps, programming expertise, and experience with cloud technologies. The position offers a competitive salary and several benefits, including 22 days of annual leave and comprehensive healthcare.

Benefits

22 days annual leave

Comprehensive medical insurance

Qualifications

• Strong MLOps background with expertise in ML model operationalization.
• Proficiency in Python and experience with CI/CD tools.
• Solid understanding of cloud environments, particularly AWS, GCP, or Azure.

Responsibilities

• Manage ML model deployment, optimization, and monitoring.
• Conduct governance reviews for ML model compliance.
• Develop CI/CD pipelines for ML operations and ensure efficient workflows.

Skills

Python

Bash

Unix/Linux

CI/CD

Cloud

Containerization

Pandas

NumPy

TensorFlow

Machine Learning

Tools

Jenkins

AWS

GCP

Azure

Kubernetes

OpenShift

Spark

Airflow

Job description

Join a leading global firm and play a key role in developing a cutting-edge AI/ML platform! Work closely with the GenAI lead to create scalable, resilient, and high-performance AI/ML solutions. If you have a strong MLOps background and experience in building robust AI/ML platforms, this role is for you.

Responsibilities

ML Model Deployment & Monitoring – Serve as the central point for ML model refactoring, optimization, containerization, and deployment while ensuring high-quality output.

Governance & Compliance – Conduct reviews to ensure ML models comply with governance principles like versioning, lineage tracking, and coding best practices.

CI/CD Pipelines & Automation – Develop pipelines for continuous operation, feedback, and monitoring of ML models, addressing data drift, retraining triggers, and rollbacks.

AI Environment Optimisation – Enhance development, testing, and production environments for maximum usability, reliability, and performance.

Cross-Team Collaboration – Work closely with infrastructure, application development, and data engineering teams to integrate ML models into enterprise applications and ensure seamless data flow.

Tech Evaluation & Innovation – Stay ahead of the curve by assessing open-source AI/ML platforms and tools, ensuring optimal performance and integration.

Requirements

Programming & Scripting: Proficiency in Python for ML and automation tasks, with working knowledge of Bash and Unix/Linux commands.

CI/CD & Orchestration: Hands-on experience with Jenkins, GitLab CI, GitHub Actions or similar tools for pipeline orchestration.

Cloud & Containerisation: Strong understanding of OpenShift, Kubernetes, AWS, GCP, or Azure.

ML Libraries & Frameworks: Experience with Pandas, NumPy, TensorFlow, H2O, and at least one MLOps framework (e.g., Kubeflow, AWS SageMaker, Google AI Platform, DataRobot, H2O, or Dataiku).

Big Data & Workflow Orchestration: Knowledge of Spark, Dask, Airflow, or Ctrl-M for distributed data processing and workflow automation.

Monitoring & Logging: Familiarity with Splunk, Geneos, and other logging tools for tracking model performance and troubleshooting.

AI & ML Operationalisation: Strong expertise in scaling, managing, and governing ML models while implementing industry best practices in MLOps.

Benefits

Salary: SGD 170K - 210K per year (negotiable)

Leave:22 days annual leave

Healthcare: Comprehensive medical insurance

If this role excites you and you'd like to have a discussion, please reach out to [e-mail].

Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.