Epicareer Might not Working Properly
Learn More

AI Engineer

Salary undisclosed

Checking job availability...

Original
Simplified

Job Title: AI Engineer Computer Vision

Job Type: Payroll and Contract under Accord Innovations Sdn Bhd

Duration: 12 months

Location: KL, Malaysia (onsite - visa provided)

Position Overview:

- We are seeking a highly skilled Computer Vision AI Engineer to lead the development of innovative computer vision applications.

- The ideal candidate will have extensive experience in image processing, model selection, fine-tuning, evaluation, and deployment of machine learning models, with a focus on real-time applications.

Experience:

- 3+ years of experience in AI/ML development, with a focus on computer vision applications.

- Proven track record in deploying machine learning models in production environments.

Technical Skills:

- Proficient in programming languages such as Python, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).

- Strong knowledge of computer vision libraries (e.g., OpenCV, torchvision).

- Familiarity with cloud services (AWS/Azure) for deployment and scaling.

- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.

Key Responsibilities:

Model Selection and Development:

- Research and identify suitable computer vision models for various applications (e.g., object detection, image segmentation).

- Develop and implement algorithms for image analysis and feature extraction.

Fine-Tuning and Optimization:

- Fine-tune pre-trained models to enhance performance on specific datasets.

- Implement techniques for data augmentation and model optimization to improve accuracy and efficiency.

Evaluation and Testing:

- Develop comprehensive evaluation frameworks to assess model performance and accuracy.

- Conduct rigorous testing and validation to ensure reliability in real-world scenarios.

Deployment:

- Deploy computer vision solutions in production environments, ensuring scalability and efficiency.

- Monitor system performance and implement improvements based on user feedback and performance metrics.

Integration:

- Collaborate cross-functionally to integrate computer vision applications with existing systems and workflows.

- Ensure seamless data flow and interoperability between systems.

Continuous Improvement:

- Stay updated with advancements in computer vision and deep learning technologies.

- Propose and implement enhancements to improve processing capabilities and user experience.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Job Title: AI Engineer Computer Vision

Job Type: Payroll and Contract under Accord Innovations Sdn Bhd

Duration: 12 months

Location: KL, Malaysia (onsite - visa provided)

Position Overview:

- We are seeking a highly skilled Computer Vision AI Engineer to lead the development of innovative computer vision applications.

- The ideal candidate will have extensive experience in image processing, model selection, fine-tuning, evaluation, and deployment of machine learning models, with a focus on real-time applications.

Experience:

- 3+ years of experience in AI/ML development, with a focus on computer vision applications.

- Proven track record in deploying machine learning models in production environments.

Technical Skills:

- Proficient in programming languages such as Python, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).

- Strong knowledge of computer vision libraries (e.g., OpenCV, torchvision).

- Familiarity with cloud services (AWS/Azure) for deployment and scaling.

- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.

Key Responsibilities:

Model Selection and Development:

- Research and identify suitable computer vision models for various applications (e.g., object detection, image segmentation).

- Develop and implement algorithms for image analysis and feature extraction.

Fine-Tuning and Optimization:

- Fine-tune pre-trained models to enhance performance on specific datasets.

- Implement techniques for data augmentation and model optimization to improve accuracy and efficiency.

Evaluation and Testing:

- Develop comprehensive evaluation frameworks to assess model performance and accuracy.

- Conduct rigorous testing and validation to ensure reliability in real-world scenarios.

Deployment:

- Deploy computer vision solutions in production environments, ensuring scalability and efficiency.

- Monitor system performance and implement improvements based on user feedback and performance metrics.

Integration:

- Collaborate cross-functionally to integrate computer vision applications with existing systems and workflows.

- Ensure seamless data flow and interoperability between systems.

Continuous Improvement:

- Stay updated with advancements in computer vision and deep learning technologies.

- Propose and implement enhancements to improve processing capabilities and user experience.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.