Data Scientist

W
Weekday AIArtificial Intelligence
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
4–6 years
Required Skills
PythonPyTorchData engineeringTensorflowDeep LearningComputer Vision

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
  • 4–6 years of professional experience in Data Science, Computer Vision, or Applied AI.
  • Strong experience with Vision Language Models (VLMs) and multimodal AI architectures.
  • Hands-on expertise in Computer Vision, including image processing and deep learning-based vision tasks.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience working with transformer-based architectures and foundation models.
  • Knowledge of machine learning algorithms, model evaluation, optimization, and experimentation.
  • Familiarity with GPU-based training and distributed deep learning workflows.
  • Good understanding of data structures, algorithms, and software engineering best practices.

Responsibilities

  • Design, build, and optimize AI models using Vision Language Models (VLMs) and multimodal learning techniques.
  • Develop computer vision pipelines for image classification, object detection, segmentation, visual reasoning, OCR, and image understanding.
  • Build multimodal AI systems that effectively combine text, images, videos, and structured data to solve business challenges.
  • Research, evaluate, and implement state-of-the-art deep learning models and emerging AI architectures.
  • Prepare, clean, annotate, and validate large-scale datasets for machine learning and computer vision applications.
  • Fine-tune pre-trained vision and multimodal foundation models for domain-specific use cases.
  • Conduct experiments, evaluate model performance using appropriate metrics, and continuously improve model accuracy and efficiency.
  • Collaborate with engineering teams to deploy AI models into production and monitor their performance.
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