Software Engineer Ii (machine Learning)

Case Law Reporter

Manila, Philippines
Hybrid
Python for data manipulation and ml
Etl scripts for large datasets
Sql, nosql, postgresql database management
Improve and maintain machine learning models/pipelines, develop scalable ETL pipelines, and optimize the end-to-end data processing workflow

Job Summary

  • Improve and maintain machine learning models/pipelines, develop scalable ETL pipelines, and optimize the end-to-end data processing workflow.
  • Design, develop, and maintain data pipelines for various file formats and develop API endpoints to integrate structured data.
  • Work with Dockerized deployments, collaborate with cross-functional teams, and apply enterprise AI tools to support business objectives.

Matching Summary

Improve and maintain machine learning models/pipelines, develop scalable ETL pipelines, and optimize the end-to-end data processing workflow.

Skills & Requirements

Must-have

  • Python for data manipulation and ML
  • ETL scripts for large datasets
  • SQL, NoSQL, PostgreSQL database management
  • YOLO object detection and OCR
  • Image processing with OpenCV
  • Tensorflow, Pyspark, Scikit-learn
  • Docker and Kubernetes
  • Azure services for ML
  • Flask, FastAPI API frameworks
  • MLOps best practices
  • Git and Github/Gitlab
  • DevOps CI/CD pipelines

Nice-to-have

  • Insurance document processing experience
  • Distributed data processing (Spark)
  • NLP and LLM-based models

Key Requirements

  • 3+ years of experience in ML/ML engineering
  • Bachelor's Degree holder

Work Rights

Not specified

Tailored Resume

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