AI/ML Research Engineer

2 weeks ago

Bengaluru, India Hireveda Full time

Responsibilities : - Contribute to research and development initiatives focused on Computer Vision, Image Processing and Deep Learning applied to construction-related data.- Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files.- Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs).- Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility.- Collaborate with cross-functional teams, including software engineers, ML researchers, and product teams, to convert research ideas into real-world applications.- Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or Hugging Face.- Stay updated with the latest research in computer vision and machine learning, and evaluate applicability to construction industry challenges.Requirements : - 5 - 6+ years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning.- Solid understanding of image processing, visual document understanding, and feature extraction from visual data.- Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus.- Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.- Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.- Hands-on experience with model optimization techniques (e. g., quantization, pruning, knowledge distillation).- Experience with version control systems (e. g., Git), project tracking tools (e. g., JIRA), and cloud environments (GCP, AWS, or Azure).- Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.- Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate.- Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. (ref:hirist.tech)

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