Cloud-Based AI/ML Solutions Architect

3 days ago

Mandaluyong City, National Capital Region, Philippines beBeeMachineLearning Full time ₱1,200,000 - ₱1,500,000
AI/ML Platform Developer Opportunity

We are seeking a highly skilled Machine Learning Engineer to support the development of our AI/ML platform in Azure Databricks.

The ideal candidate will work collaboratively with a cross-functional team to design, build, and maintain ML pipelines for data ingestion, feature engineering, training, testing, and deployment.

This role requires strong expertise in MLOps practices, data governance standards, and CI/CD tools like Azure DevOps or GitHub Actions.

Key Responsibilities
  • Pipeline Development: Contribute to building and maintaining ML pipelines using Azure Databricks.
  • MLOps Support: Assist in model training, tuning, deployment, and monitoring using Databricks MLflow or Azure ML.
  • Data Governance: Apply data security and access control standards as defined by the team.
  • Deployment & Monitoring: Deploy models for batch and real-time inference under guidance from senior engineers; implement monitoring for performance and drift detection.
  • Cross-Functional Collaboration: Work closely with infrastructure, product, and other teams to integrate pipelines with CI/CD tools and support infrastructure-as-code practices.
Requirements
  • 2–4 years of experience as an ML Engineer, MLOps Engineer, or related role.
  • Proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
  • Practical experience with Azure Databricks, MLflow, and Delta Lake.
  • Familiarity with Git-based workflows and CI/CD pipelines.
  • Understanding of MLOps principles and production ML requirements.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

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