We are seeking a highly skilled and innovative Computer Vision Engineer to design, develop, and deploy advanced computer vision and deep learning solutions for real-world business applications. The ideal candidate should possess strong expertise in image processing, deep learning, AI model development, and computer vision frameworks.

The role involves working on cutting-edge technologies including object detection, image segmentation, video analytics, OCR, facial recognition, and AI-powered visual intelligence systems.

Key Responsibilities :

Computer Vision & AI Model Development :

- Design, build, and optimize computer vision and deep learning models.

- Develop solutions for object detection, image classification, image segmentation, tracking, OCR, and video analytics.

- Work on AI-driven image and video processing pipelines for enterprise applications.

- Build scalable and production-ready computer vision systems.

Model Training & Optimization :

- Train, validate, and fine-tune machine learning and deep learning models.

- Work with large image/video datasets and annotation pipelines.

- Optimize model performance for latency, accuracy, scalability, and inference efficiency.

- Implement model evaluation metrics and continuous monitoring processes.

Research & Innovation :

- Explore latest advancements in AI, Computer Vision, and Generative AI technologies.

- Conduct experimentation, prototyping, and proof-of-concept development.

- Recommend new approaches and frameworks for solving complex visual intelligence problems.

- Contribute to innovation initiatives and technical strategy discussions.

Deployment & Engineering :

- Deploy AI models into cloud, edge, or production environments.

- Develop APIs and scalable backend integrations for AI solutions.

- Work closely with DevOps and engineering teams for CI/CD and MLOps integration.

- Ensure robustness, security, and maintainability of AI systems.

Collaboration & Stakeholder Management :

- Collaborate with product, engineering, and business teams to understand requirements.

- Translate business challenges into scalable AI/ML solutions.

- Present technical findings, insights, and solution recommendations to stakeholders.

Desired Candidate Profile :

- Bachelors or Masters degree in Computer Science, AI, Machine Learning, Electronics, or related field.

- 5 to 10 years of experience in Computer Vision, Deep Learning, or AI Engineering.

- Strong expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.

- Hands-on experience in image processing, video analytics, and computer vision algorithms.

- Experience with CNNs, YOLO, RCNN, transformers, and related architectures.

- Exposure to MLOps, cloud deployment, and scalable AI systems preferred.

- Strong analytical, research, and problem-solving skills.

- Excellent communication and collaboration abilities.