Position: Senior Computer Vision Engineer

Experience: 5+ Years

Job Location: Gurugram (Gurgaon), Haryana

Work Mode: On-site

Compensation: Competitive, as per market standards and experience

Employment Type: Full-time

Seniority: Senior-Level

About AaizelTech

Aaizel Tech is a pioneering deep-tech startup working at the intersection of Cybersecurity, AI, Geospatial Intelligence, Advanced Sensing, and Weather Intelligence. We build mission-critical, AI-first technology solutions for defence, government, critical infrastructure, and enterprise applications. As a growing technology company, we offer an exciting opportunity to work on impactful projects, collaborate with multidisciplinary teams, and grow in a dynamic, technology-driven environment.

About the Role

We are looking for a highly skilled and experienced Senior Computer Vision Engineer to lead the design, development, optimization, and deployment of advanced computer vision and deep learning solutions. The ideal candidate will have strong hands-on expertise in computer vision algorithms, image processing, neural networks, and production-grade AI systems.

The candidate should be capable of taking ownership of complex technical challenges, translating business requirements into scalable AI solutions, mentoring junior engineers, and driving projects from research and prototyping through deployment.

Key Responsibilities

- Computer Vision Development: Design, develop, train, and optimize advanced computer vision models for image classification, object detection, image segmentation, facial analysis, image matching, tracking, and recognition.
- Deep Learning & AI: Implement state-of-the-art architectures using CNNs, Vision Transformers (ViTs), and other suitable deep learning techniques.
- Model Training & Optimization: Manage data preparation, annotation strategies, augmentation, model training, hyperparameter tuning, evaluation, and inference optimization.
- Real-World Problem Solving: Develop robust vision systems capable of handling challenging real-world conditions,



including variations in lighting, pose, image quality, occlusion, and camera environments.
- Production Deployment: Build and deploy scalable, reliable, and low-latency inference pipelines for real-time and batch-processing applications.
- Performance Evaluation: Define evaluation metrics, conduct error analysis, address model failure cases, and continuously improve accuracy, robustness, and operational efficiency.
- Engineering Excellence: Write clean, modular, maintainable, and production-ready code while following software engineering best practices.
- Technical Leadership: Own technical deliverables, review code and model designs, mentor team members, and contribute to architecture and technology decisions.
- Cross-Functional Collaboration: Work closely with AI/ML engineers, backend developers, product teams, and stakeholders to deliver end-to-end solutions.
- Research & Innovation: Stay updated with emerging computer vision research, foundation models, open-source frameworks, and industry best practices.

Required Technical Skills
- Minimum 5+ years of hands-on experience in computer vision, deep learning, and machine learning model development.
- Strong proficiency in Python , with experience in writing production-quality code.
- Extensive working knowledge of PyTorch and/or TensorFlow .
- Robust understanding of image processing, feature extraction, object detection, segmentation, classification, tracking, and image similarity or matching techniques.
- Solid knowledge of CNNs, Vision Transformers, transfer learning, fine-tuning, embeddings, and representation learning.
- Experience with OpenCV, NumPy, Pandas,



and relevant computer vision libraries.
- Strong understanding of model evaluation metrics, data imbalance, overfitting, generalization, and error analysis.
- Experience optimizing models for inference speed, memory usage, and deployment constraints.
- Familiarity with Git, Linux, REST APIs, Docker, and production deployment workflows.
- Strong analytical, debugging, problem-solving, and communication skills.

Preferred Qualifications
- Experience building and deploying real-time computer vision applications.
- Exposure to facial verification, face matching, face anti-spoofing, liveness detection, or biometric systems.
- Experience with ONNX, TensorRT, OpenVINO, or other model acceleration and inference optimization technologies.
- Familiarity with cloud platforms, GPU-based training, CUDA, and MLOps practices.
- Experience working with large-scale image datasets, data pipelines, model monitoring, and versioning.
- Demonstrated ability to independently own projects and drive them from proof of concept to production.

What We Are Looking For
- A hands-on senior engineer who can independently design and deliver complex computer vision solutions.
- Strong ownership, technical judgment, and a practical approach to solving real-world AI problems.
- Ability to balance model accuracy, inference latency, scalability, and maintainability.
- A track record of successful model development and deployment, supported by demonstrable projects or production experience.
- Willingness to work from our Gurugram office in an on-site setup.

How to Apply Interested candidates can share their updated resume along with details of relevant computer vision projects, deployed models, technical achievements, and GitHub or portfolio links, where available at [email protected] and [email protected]

Note: Candidates should demonstrate strong practical expertise in computer vision and deep learning, rather than relying solely on theoretical knowledge or familiarity with AI tools.

📌 Senior Computer Vision Engineer (Gurugram)
🏢 AAIZEL INTERNATIONAL TECHNOLOGIES
📍 Gurugram