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2 месяца назад

Data Scientist - AI / Computer Vision

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist - AI / Computer Vision (Python, Deep Learning): Designing, fine-tuning, and deploying scalable computer vision models for image and video applications with an accent on image classification, object detection, image segmentation, and MLOps. Focus on building data preprocessing pipelines, optimizing model performance, and integrating production AI solutions with engineering, product, and business teams.

Location: Bengaluru, India

Company

hirify.global delivers customer-focused analytics and AI solutions.

What you will do

  • Design, develop, optimize, and deploy AI/ML solutions for computer vision applications.
  • Build and fine-tune deep learning models for image classification, object detection, and image segmentation.
  • Process, clean, annotate, and manage large-scale image and video datasets.
  • Develop preprocessing and post-processing pipelines, and evaluate models through benchmarking, validation, and error analysis.
  • Deploy and scale models in production using cloud and MLOps practices.
  • Collaborate with engineering, product, and business teams while following version control, testing, documentation, and reproducibility practices.

Requirements

  • 3–8 years of experience in data science, AI, and computer vision.
  • Strong proficiency in Python and hands-on experience with computer vision and deep learning.
  • Expertise in PyTorch, TensorFlow, or Keras.
  • Experience with OpenCV, image processing, model evaluation, and performance optimization.
  • Strong knowledge of image classification, object detection, image segmentation, transfer learning, and model fine-tuning.
  • Understanding of MLOps, production deployment, Git, and software development best practices.

Nice to have

  • Experience with Vision-Language Models, multimodal AI, Large Language Models, or NLP.
  • Experience with MLflow, Kubeflow, Docker, Kubernetes, or cloud platforms such as AWS, Azure, or GCP.
  • Experience in healthcare, medical imaging, or other domain-specific AI applications.
  • Research publications, open-source AI contributions, or knowledge of Responsible AI and AI ethics.

Culture & Benefits

  • Fast-paced and dynamic work environment.
  • Cross-functional collaboration with strong ownership and accountability.
  • Analytical, research-oriented, and detail-focused working style.
  • Full-time employment.

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