Software Engineer II (Machine Learning Engineer)

Job title: Software Engineer II (Machine Learning Engineer)

Company:


Job description: Overview: We are looking for a Machine Learning Engineer who will be responsible for improving and maintaining our machine learning models/pipelines, developing scalable ETL pipelines, and optimizing the end-to-end data processing workflow. This role requires strong experience in computer vision, OCR, and deep learning, as well as the ability to deploy models in a production environment. Responsibilities: Design, develop, and maintain data pipelines to manage TIFF images, extracted fields, CSV, PDF, XML, and structured outputs. Build and optimize ETL workflows for preprocessing (resizing, rotation, denoising) and ML pipeline integration. Develop, train, evaluate, deploy, and monitor deep learning models in a production environment. Develop API endpoints and integrate structured data into the existing data keying application. Implement logging, monitoring, and error-handling mechanisms for model performance and data consistency. Work with Dockerized deployments to streamline ML and data workflows. Collaborate with ML engineers, software developers, and quality test engineers to ensure seamless integration Qualifications: 3+ years of experience in data engineering, ML engineering, or a hybrid role. Proficiency in Python for data manipulation, API development, and ML integration. Ability to write efficient ETL scripts and manage large datasets. Strong knowledge of database management (SQL, NoSQL, PostgreSQL, or similar). Familiarity with YOLO-based object detection and OCR processing. Knowledge of image processing and computer vision tools such as Pillow, OpenCV, pdf2image, etc. Experience with training and testing machine learning models using Tensorflow, Pyspark, and Scikit-learn. Hands-on experience with Docker, Kubernetes, and containerized ML workflows. Experience working with Azure services (Data Factory, Blob Storage, ML Studio, and other compute resources). Experience with Flask, FastAPI, or other API frameworks. Knowledge of MLOps best practices for deploying and monitoring ML models in production. Hands-on experience using Git and Github/Gitlab, and Github Actions.

Expected salary:

Location: Quezon City, Metro Manila

Job date: Sat, 14 Jun 2025 22:56:00 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsnear.pro) you saw this job posting.Thanks&Good Luck