Job Title: Data Scientist (Computer Vision & Generative AI) Experience: 2–4 Years Employment Type: Full-time
Job Description We are seeking a motivated and skilled Data Scientist with hands-on experience in machine learning and deep learning. The ideal candidate will have a strong background in computer vision, particularly in OCR-related tasks, and a solid understanding of modern deep learning architectures, including CNNs, RNNs, and Transformer-based models. Knowledge of Generative AI is highly desirable. Key Responsibilities Design, train, and evaluate machine learning and deep learning models for real-world applications. Develop and optimize computer vision pipelines with a focus on OCR, document understanding, and text extraction. Work with deep learning architectures such as CNNs, RNNs (LSTM/GRU), and Transformers. Apply Generative AI techniques to improve existing systems or develop new AI-driven features. Perform data preprocessing, augmentation, and feature engineering. Fine-tune pre-trained models and adapt them to domain-specific tasks. Evaluate model performance, analyze errors, and continuously improve models. Collaborate with engineering teams to deploy models into production. Document experiments, models, and technical findings. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.2–4 years of professional experience in data science or machine learning. Strong understanding of deep learning fundamentals. Hands-on experience with CNNs, RNNs, and Transformer architectures. Practical experience working on OCR systems. Proficiency in Python and deep learning frameworks such as PyTorch or Tensor Flow. Preferred Qualifications Experience or strong knowledge of Generative AI (LLMs, fine-tuning, prompt engineering or RAG). Experience with document AI or layout-aware models. Familiarity with MLOps tools and deployment pipelines.