Research Engineer - I

CodeRound; Hinoba-an; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

CodeRound is seeking a Research Engineer-I to develop AI solutions for automated document understanding, supporting research to production deployment. You will work on computer vision, image processing, and multimodal models, collaborating with engineers and product teams.

You will write clean Python code using PyTorch, TensorFlow, or HuggingFace, and contribute to research, prototyping, and scalable production workflows in a fast-paced environment.

Qualifications

• Experience in computer vision, deep learning, NLP and multimodal models.
• Proficiency with Python and ML frameworks (PyTorch, TensorFlow).
• Experience deploying ML models to production and collaborating with software teams.

Responsibilities

• Contribute to R&D in CV, image processing and DL.
• Build and optimize models for extracting insights from blueprints, PDFs and SVGs.
• Develop multi-modal models integrating vision with NLP/LLMs.

Skills

Computer Vision

Deep Learning

NLP

Multimodal Models

Python

Research

Agile

Tools

PyTorch

TensorFlow

OpenCV

HuggingFace

Docker

Kubernetes

AWS

GCP

Azure

Git

JIRA

Job description

Client: Develops AI-powered construction takeoff, estimating, bid management, and BIM software that automates preconstruction workflows for contractors and field service businesses.

Requirements:

Computer Vision Deep Learning AI/ML Python PyTorch TensorFlow OpenCV HuggingFace NLP LLM Multimodal Models Image Processing Visual Document Understanding SVG PDFs Unsupervised Learning Representation Learning Model Optimization Quantization Pruning Knowledge Distillation Docker Kubernetes AWS GCP Azure Git JIRA Research Production ML Data Science Agile

Research Engineer-I focused on developing AI solutions using Deep Learning, Computer Vision, Image Processing, NLP, and multimodal models for automated document understanding, supporting the complete lifecycle from research and prototyping to production deployment.

Responsibilities:

• Contribute to research and development in Computer Vision, Image Processing, and Deep Learning
• Build and optimize models for extracting insights from blueprints, scanned PDFs, and SVG files
• Contribute to development of multi-modal models integrating vision with NLP/LLMs
• Follow best practices in data-centric development, experiment tracking, model validation, and reproducibility
• Collaborate with software engineers, ML researchers, and product teams
• Write clean, scalable, production-ready Python code using PyTorch, TensorFlow, or HuggingFace
• Stay updated with the latest research in computer vision and machine learning and evaluate its applicability

Nice to have:

Computer Vision Deep Learning AI/ML Python PyTorch TensorFlow OpenCV HuggingFace NLP LLM Multimodal Models Image Processing Visual Document Understanding SVG PDFs Unsupervised Learning Representation Learning Model Optimization Quantization Pruning Knowledge Distillation Docker Kubernetes AWS GCP Azure Git JIRA Research Production ML Data Science Agile