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AI / ML Research Engineer - NLP / LLM

AI / ML Research Engineer - NLP / LLM

HirevedaBangalore
30+ days ago
Job description

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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