Junior Data Scientist- Computer Vision

Digitap.AI Enterprise; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Digitap.AI Enterprise is seeking a Junior Data Scientist specializing in Computer Vision in Bengaluru. Ideal candidates should have a BE/BTech, or higher degree in Computer Science or related fields and a passion for AI-powered solutions.

Responsibilities involve building computer vision models, data preparation, and collaborating with senior data scientists. Hands-on experience with Python and frameworks like PyTorch is essential. This is a great opportunity to grow in a dynamic fintech environment.

Qualifications

• Strong understanding of Machine Learning and Deep Learning fundamentals.
• Good knowledge of Computer Vision concepts.
• Hands-on experience with Python programming.

Responsibilities

• Build and deploy Computer Vision models for fintech applications.
• Collect, clean, and analyze image datasets.
• Train and fine-tune deep learning models.

Skills

Machine Learning fundamentals

Deep Learning fundamentals

Python programming

Computer Vision concepts

Analytical and debugging skills

Education

BE / BTech / ME / MTech / MCA in Computer Science or related fields

Tools

OpenCV

NumPy

Pandas

PyTorch

scikit-image

matplotlib

Job description

Junior Data Scientist – Computer Vision

Location: Bangalore

We are looking for a passionate Computer Vision Engineer/Data Scientist who is eager to build AI‑powered solutions using Deep Learning and Computer Vision techniques. You will work closely with senior data scientists and engineers to develop, train, evaluate, and deploy computer vision models for real‑world fintech and document intelligence applications. This role offers an excellent opportunity to gain hands‑on experience with modern deep learning frameworks, production AI systems, and large‑scale datasets.

Key Responsibilities

1. Build Computer Vision Models:
   • Object Detection
   • Image Quality Assessment
   • OCR and Document Understanding
   • Image Classification
2. Data Preparation and Analysis
   • Collect, clean, label, and analyze image datasets.
   • Perform exploratory analysis on image and document data.
   • Identify data quality issues and improve dataset reliability.
3. Model Training and Evaluation
   • Train and fine‑tune deep learning models using modern frameworks.
   • Evaluate model performance using appropriate metrics.
   • Conduct experiments and benchmark different approaches.
4. Research and Innovation
   • Read and implement research papers and open‑source solutions.
   • Stay updated with advancements in Computer Vision and AI.
   • Experiment with new architectures and techniques.
5. Production Support
   • Collaborate with engineering teams to deploy and monitor models.
   • Assist in optimizing model performance for production environments.
   • Support API integration and model inference pipelines.
6. Documentation and Collaboration
   • Document experiments, findings, and model performance.
   • Work closely with product, engineering, and senior data science teams.

Required Skills and Experience/Education

• BE / BTech / ME / MTech / MCA in Computer Science, Artificial Intelligence related fields.

Technical Skills

• Strong understanding of Machine Learning and Deep Learning fundamentals.
• Good knowledge of Computer Vision concepts.
• Hands‑on experience with Python programming.
• Familiarity with at least one deep learning framework: PyTorch (preferred)

Computer Vision Libraries

• OpenCV
• NumPy
• Pandas
• PIL
• scikit‑image
• matplotlib

Model Development – Basic Understanding of

• CNNs
• Object Detection (YOLO, Faster R‑CNN, SSD)
• Image Classification
• Transfer Learning

Problem Solving

• Strong analytical and debugging skills.
• Curiosity to learn and explore new technologies.

Preferred Qualifications

• 0–2 years of experience in Computer Vision, AI, or Machine Learning.
• Internship or academic projects in Deep Learning or Computer Vision.
• Exposure to OCR, document processing, or image analytics projects.