Machine Learning Operations Platform Lead

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.

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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.

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

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Benefits

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

📆 Leave:22 days annual leave

💪 Healthcare: Comprehensive medical insurance

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If this role excites you and you'd like to have a discussion, please reach out to joel@tenten-partners.com.

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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.

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