Bidaal is an AI-IoT startup founded by IIT Kharagpur graduates, focused on building advanced AI-driven solutions for heavy industries such as Mining, Oil & Gas, Steel Plants, Manufacturing Units, Airports, and large industrial infrastructure. Our platform improves workplace safety, productivity, and regulatory compliance through in house technologies powered by Computer Vision, Artificial Intelligence, and IoT. At Bidaal, we work on real-world industrial problems, deploying AI systems at scale in challenging environments. If you are eager to grow as a computer vision engineer and want hands-on exposure to enterprise-grade AI solutions, this is the right place for you.
About the Role:
We are looking for a Junior Computer Vision Engineer with 2-3 years of hands-on experience who is passionate about building practical computer vision solutions.
This role is ideal for someone who writes clean, structured, and well-documented code, learns quickly, and is comfortable working in a fast-paced, evolving startup environment. You will work closely with senior engineers, gaining exposure to the full lifecycle of CV systems--from experimentation to production deployment.
Roles & Responsibilities:
Develop, implement, and optimize computer vision and deep learning models for tasks including:
o Object detection, classification, and segmentation
o Object tracking and OCR
o Image-based and 3D reconstruction use cases
Write clean, modular, reusable, and well-documented code following best software engineering practices.
Collaborate with senior engineers and cross-functional teams to understand requirements and deliver high-quality solutions.
Perform data preprocessing, annotation validation, and dataset management to support model training and evaluation.
Run experiments, evaluate model performance, and prepare performance metrics and reports.
Support the integration of CV models into production pipelines and edge deployments where required.
Stay updated with latest trends, tools, and research in computer vision and deep learning.
Adapt quickly to new problem statements and projects across different industrial domains.
Who Are You:
Experience: 2-3 years of hands-on experience working on computer vision or deep learning projects.
Core Technical Skills:
o Strong understanding of fundamental computer vision concepts (image
o Proficiency in Python, OpenCV, NumPy, and related libraries
Model Familiarity:
o Object Detection: YOLO, Faster R-CNN, SSD (or similar)
o Segmentation: U-Net, Mask R-CNN (or similar)
o Exposure to tracking or OCR is a plus
Engineering Mindset:
o Ability to write clean, maintainable, and well-documented code
o Familiarity with Git and version control workflows
o Strong problem-solving skills and eagerness to learn
Work Style:
o Comfortable working on multiple or rapidly evolving projects
o Flexible, proactive, and growth-oriented mindset
Model Optimization (Exposure):
o Basic understanding or exposure to ONNX, TensorRT, or quantization techniques
Good to Have:
Experience deploying CV models on edge devices such as NVIDIA Jetson or Raspberry Pi.
Basic familiarity with cloud platforms (AWS or similar)
Interest in performance optimization for real-time inference
What We Offer:
Salary: As per industry standards (based on experience & role fit)
Working Days: 6 days a week / Onsite in Noida
Culture: Opportunity to work on large-scale, real-world industrial computer vision deployments. Collaborative culture with highly skilled engineers and cross-functional teams. High ownership, autonomy, and freedom to experiment and innovate
Learning Potential: Exposure to advanced AI infrastructure, edge computing, and enterprise-grade systems
Job Type: Full-time
Pay: ?50,000.00 - ?100,000.00 per month
Benefits:
Health insurance
Paid sick time
Provident Fund
Work from home
Work Location: In person
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