AI Computer Vision Engineer — India Remote
Role Overview
We are looking for an experienced AI Computer Vision Engineer to join our project team and support the design, development, integration, and deployment of AI-powered computer vision solutions.
The ideal candidate will have strong hands-on experience in Computer Vision, Deep Learning, Python, image/video analytics, and AI model development, with the ability to take models from experimentation and prototyping through production deployment.
The role will involve developing computer vision models for image and video analytics, integrating AI solutions with enterprise applications, and optimizing model performance, scalability, and reliability for production environments.
Key Responsibilities
- Design, develop, train, and deploy Computer Vision and Deep Learning models for real-world business applications.
- Develop AI solutions for image and video analytics, including object detection, classification, segmentation, tracking, OCR, and related use cases.
- Build and optimize models using frameworks such as PyTorch and/or TensorFlow.
- Develop image and video processing pipelines using Python and OpenCV.
- Implement and fine-tune object detection models using YOLO, Faster R-CNN, and similar architectures.
- Develop solutions for image classification, semantic/instance segmentation, OCR, pose estimation, and facial analysis.
- Implement object tracking and video analytics using technologies such as ByteTrack and DeepSORT.
- Work with modern vision architectures, including Vision Transformers (ViT), Swin Transformer, SAM 2, and CLIP.
- Explore and implement Generative AI and synthetic-data techniques for computer vision model development and data augmentation.
- Integrate AI/Computer Vision models with enterprise applications, APIs, and production systems.
- Optimize model accuracy, inference performance, latency, memory utilization, and scalability.
- Prepare datasets, perform data preprocessing, augmentation, annotation analysis, and model evaluation.
- Troubleshoot model and deployment issues and continuously improve production performance.
- Collaborate with software engineers, AI/ML engineers, architects, and project stakeholders to deliver production-ready solutions.
- Document model architecture, technical implementation, performance metrics, and deployment processes.
Required Technical Skills
- 3–6 years of relevant experience in Computer Vision / AI / Deep Learning. Experience may be flexible based on the candidate's overall profile.
- Strong hands-on experience in Computer Vision and Deep Learning.
- Strong Python programming skills.
- Experience with OpenCV and image/video processing.
- Hands-on experience with YOLO and object detection frameworks.
- Strong experience with TensorFlow and/or PyTorch.
- Practical knowledge of:
- Object Detection
- Image Classification
- Image Segmentation
- OCR
- Object Tracking
- Video Analytics
- Understanding of model training, validation, evaluation, optimization, and deployment.
- Good understanding of computer vision algorithms, neural networks, CNNs, transformers, and deep learning concepts.
Preferred Technical Exposure
Candidates with experience in the following technologies will be strongly preferred:
Object Detection
Image Classification
- Vision Transformer (ViT)
- Swin Transformer
Pose Estimation
Face Analysis
Object Tracking
Action Recognition
Generative Vision & Data
- Synthetic dataset generation
- Data augmentation
- Synthetic data pipelines
Foundation Vision Models
Vision-Language Models (VLMs)
- Hands-on experience with VLMs will be an added advantage.
Deployment & Infrastructure
Exposure to production deployment and MLOps practices is preferred, including:
- Docker
- Kubernetes
- REST APIs / microservices
- Model serving and inference optimization
- Cloud-based AI/ML deployment
- GPU-based model inference
- CI/CD and production model deployment practices
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electronics, Engineering, or a related technical discipline.
Equivalent practical experience with a strong Computer Vision portfolio will also be considered.
Location
India — Remote
Preferred Location: Noida / Delhi NCR
Candidates from other locations in India with strong relevant experience may also be considered.
Experience
3–6 years, flexible based on technical expertise, project experience, and overall candidate profile.
Ideal Candidate Profile
The ideal candidate is a hands-on Computer Vision Engineer who can work across the complete AI development lifecycle—from data preparation and model development to optimization, API integration, and production deployment.
Candidates with demonstrable experience building and deploying real-world Computer Vision applications, particularly involving image/video analytics and modern vision models, will be preferred.
Engagement
Employment Type: Project-Based / Contractual
Work Mode: Remote
Location: India
Preferred Location: Noida / Delhi NCR
Pay: ₹70,000.00 - ₹120,000.00 per month
Benefits:
- Flexible schedule
- Work from home
Application Question(s):
- Your expected salary per month?
- Do you have strong hands-on Python experience?
- Which Deep Learning frameworks have you used professionally?
PyTorch
TensorFlow
Both PyTorch and TensorFlow
Other
- What is your hands-on experience with OpenCV?
No experience
Basic
Intermediate
Advanced
- Which object detection frameworks/models have you implemented in production?
YOLO
Faster R-CNN
SSD
Other
None
- Which of the following Computer Vision tasks have you worked on professionally?
Select all that apply.
Object Detection
Image Classification
Image Segmentation
OCR
Object Tracking
Pose Estimation
Face Analysis
Action Recognition
Video Analytics
- Which object tracking technologies have you worked with?
ByteTrack
DeepSORT
SORT
Other
None
- Have you worked with Vision Transformers or transformer-based vision models?
Yes — ViT
Yes — Swin Transformer
Both
Other
No
- What experience do you have with OCR solutions?
Production implementation
Project/prototype implementation
Basic exposure
No experience
- Do you have experience with Vision-Language Models (VLMs)?
Yes — production
Yes — project/prototype
Basic exposure
No
- Have you integrated Computer Vision/AI models with enterprise applications or APIs?
Yes — extensively
Yes — some experience
Basic exposure
No
- Please describe one Computer Vision project you personally developed and deployed. Include the problem statement, model/technology used, dataset, your specific contribution, and production outcome.
Experience:
- Computer Vision / Deep Learning: 3 years (Required)
Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)
