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We are seeking a motivated and enthusiastic Junior Computer Vision Engineer who can work with CR (Corporate Research) and develop high quality AI solutions for our advanced engineering team. The ideal candidate will have a foundational understanding of computer vision concepts and experience with relevant tools and technologies. As a Junior Computer Vision Engineer, you will work alongside senior engineers and researchers to develop and implement computer vision algorithms and solutions for a variety of applications.

Key Responsibilities:

Algorithm Development: Assist in designing and implementing computer vision algorithms for tasks such as object detection, image segmentation, and feature extraction.

Data Processing: Contribute to preprocessing and augmenting image datasets to ensure high-quality input for model training and evaluation.

Model Training: Support the training and evaluation of computer vision models, including fine-tuning pre-trained models and assessing performance metrics.

Software Development: Hands on experience with the software development to integrate computer vision solutions into existing applications and systems.

Testing and Debugging: Participate in testing and debugging processes to ensure the robustness and accuracy of computer vision algorithms and solutions.

Documentation: Maintain clear and comprehensive documentation of algorithms, experiments, and code to facilitate knowledge sharing and reproducibility.

Collaboration: Work closely with other engineers, researchers, and stakeholders to understand project requirements and deliver effective solutions. Skillset:

Technical Skills:

• Strong conceptual foundation on the following:
• Linear Algebra
• Multivariate Calculus
• Probability and stochastic processes
• Optimization methods
• Deep Generative Models - Autoregressive, VAE, GANs, Diffusion based models, etc.
• Strong hands-on proficiency in the following:
• PyTorch / TensorFlow
• OpenCV
• Pandas
• NumPy
• MLOps frameworks like AzureML / SageMaker
• Familiarity with HugginFace libraries like diffusers, etc.
• Understanding of image processing techniques and machine learning algorithms.
• Proficiency in programming languages such as Python, C++, or Java.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to work independently and as part of a team.

Communication: Good communication skills with the ability to convey technical concepts clearly to both technical and non-technical stakeholders.

Attention to Detail: High attention to detail and commitment to delivering high-quality work.