CAW Studios - Senior Computer Vision Engineer - Artificial Intelligence/Machine Learning (5-7 yrs)

We are looking for a Full-Stack AI/ML Engineer to develop and deploy cutting-edge AI models for computer vision and OCR applications.

This role combines machine learning expertise, backend and frontend development, and cloud deployment to build scalable, real-world solutions.

What's Expected :

- Image Processing : Preprocess images for analysis (denoising, normalization, contrast enhancement).

- Machine Learning : Build and train models for object detection and OCR.

- AI Integration : Utilize OpenAI APIs to enhance data analysis.

- Post-Processing : Validate and correct OCR outputs for accuracy.

- Development : Design backend systems (Flask/Django), user interfaces (Stream lit), and APIs.

- Deployment : Use Docker, Kubernetes, and CI/CD for scalable cloud deployment (AWS, Azure, or Google Cloud).

Skills Required :

- Strong knowledge of machine learning and computer vision.

- Proficiency in Python, Flask/Django, and Stream lit.

- Experience with OpenAI APIs and RESTful API development.

- Familiarity with Docker, Kubernetes, and CI/CD pipelines.

- Expertise in cloud services (AWS, Azure, Google Cloud).

What You'll Get :

- Meaningful Work : Solve real-world problems with innovative AI solutions.

- Career Development : Opportunities for growth and learning in a dynamic environment.

- Collaborative Team : Work with passionate, cross-functional teams.

- Competitive Package : Attractive salary and performance-based incentives.

- Flexible Work : Options for hybrid or remote work.

Responsibilities :

- Preprocess images for analysis, including denoising, normalization, contrast enhancement, and other relevant techniques.

- Develop and train state-of-the-art machine learning models for object detection, image classification, and OCR tasks.

- Experiment with different deep learning architectures (e.g., CNNs, RNNs, Transformers) and techniques (e.g., transfer learning, data augmentation).

- Leverage OpenAI APIs (e.g., GPT models) to enhance data analysis, improve model performance, and generate insights.

- Implement robust post-processing techniques to validate and correct OCR outputs, ensuring high accuracy and reliability.

- Design and develop robust backend systems using Python frameworks such as Flask or Django.

- Create user-friendly and interactive front-end interfaces using Streamlit or other suitable frameworks.

- Develop and maintain RESTful APIs for seamless integration with other systems.

- Containerize applications using Docker and deploy them on cloud platforms (AWS, Azure, Google Cloud) using Kubernetes.

- Implement CI/CD pipelines for automated testing, deployment, and monitoring.

- Stay abreast of the latest advancements in AI/ML, computer vision, and OCR technologies.

- Conduct research and experimentation to explore new approaches and improve existing solutions.