Junior Data Scientist- Computer Vision

Digitap.ai; Bengaluru; On-site; INR 500,000 - 700,000; Full time

Job summary

Digitap.ai is seeking a Junior Data Scientist specializing in Computer Vision for their Bengaluru location. This role involves building and evaluating computer vision models using deep learning techniques.

Responsibilities include data preparation, model training, and collaboration with engineering teams for production support. Candidates should hold a relevant degree and possess a strong understanding of machine learning fundamentals and programming skills in Python.

Qualifications

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

Responsibilities

• Build Computer Vision models for various applications.
• Collect, clean, and analyze image datasets.
• Train and evaluate deep learning models.
• Stay updated with AI advancements.
• Collaborate with teams to deploy models.

Skills

Machine Learning fundamentals

Deep Learning fundamentals

Computer Vision concepts

Python programming

OpenCV

NumPy

Pandas

PIL

scikit-image

matplotlib

Education

BE / BTech / ME / MTech / MCA in Computer Science or AI

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.