AI Platform Developer

4 days ago

Manila, National Capital Region, Philippines beBeeArtificial Full time ₱2,000,000 - ₱2,500,000
Job Title

We are seeking an experienced Artificial Intelligence Engineer to help build our AI platform from the ground up.

This is a unique opportunity to work on cutting-edge technology and be part of a cross-functional team that collaborates to implement a predefined architecture and establish the foundations of a production-grade system that adheres to strict data governance and compliance standards.

The role combines AI engineering responsibilities into a single, integrated position. You will contribute across the end-to-end AI lifecycle from data pipelines and governance through to model deployment and monitoring with a strong focus on collaboration.

  • Key Responsibilities:
  • Collaborate with the team to implement the initial AI architecture, setting up infrastructure and workflows.
  • Design and build scalable, reproducible AI pipelines for data ingestion, feature engineering, training, testing, and deployment.
  • Ensure version control and collaboration through Git-based workflows.
  • Establish processes for automated model training, tuning, deployment, and monitoring using MLflow and Azure Pipelines.
  • Define and manage model registries, versioning, and traceability.
  • Implement strict controls for data access, lineage, and security.
  • Ensure all pipelines and models comply with regulatory requirements, auditability, and AI ethics standards.
  • Embed compliance requirements into system design from day one.
  • Deploy models for real-time and batch inference using MLflow.
  • Contribute to monitoring frameworks for drift detection, latency, and performance degradation using Azure Monitor or equivalent.
  • Integrate pipelines with Azure DevOps or GitHub Actions for automated testing, validation, and deployment.
  • Support infrastructure-as-code with Terraform, Bicep, or ARM templates to ensure reproducibility and scalability.
Requirements
  • Experience:
  • 5+ years of experience as an AI Engineer, Data Scientist, or similar hybrid role.
  • Strong proficiency in Python and AI frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
  • Proven expertise in Azure Databricks, Azure ML, Data Factory, Delta Lake, and MLflow.
  • Hands-on experience with Git for pipeline development (branching strategies, code reviews, version control best practices).
  • Solid understanding of AI practices, CI/CD, and production AI requirements.
  • Experience working under strict governance and compliance frameworks.
  • Preferred Qualifications:
  • Familiarity with Generative AI, LLM deployment, or RAG pipelines using Azure OpenAI Service, LangChain, or open-source LLMs.
  • Experience with vector databases (e.g., FAISS, Milvus, Pinecone) and model explainability tools.
  • Azure certifications (e.g., Azure Data Scientist Associate, Azure Solutions Architect, or Azure DevOps Engineer).
Benefits

We believe that diverse perspectives make us stronger, more innovative, and better equipped to solve complex problems. We are committed to creating an inclusive work environment that supports the career aspirations of individuals from all backgrounds.

About Us

We are a leading company in the field of AI and machine learning. Our mission is to provide cutting-edge solutions that drive business success and improve lives.

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