Data Scientist – Computer Vision & Generative AI

Job Title: Data Scientist (Computer Vision & Generative AI)

Experience: 2–4 Years

Employment Type: Full-time

Location: Remote

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 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.