Research Engineer
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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
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