Job Title: Data Scientist (Computer Vision & Generative AI)
Experience: 24 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.
- 24 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 TensorFlow.
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.
