Overview
We are seeking a talented and motivated Computer Vision Expert tojoin our team. The ideal candidate will bring deep expertise in computervision machine learning and AIdriven image processing. You will work on designingdeveloping and optimizing visionbased solutions that solve realworldproblems contribute to product innovation and enhance user experience.
KRA:
- Model Development: Design develop and implement advanced computer vision algorithms for object detection image segmentation face recognition OCR and similar tasks.
- Data Processing and Annotation: Collaborate with the data team to preprocess and annotate datasets ensuring quality and relevance for model training.
- Performance Optimization: Improve model accuracy speed and efficiency for both cloud and edge deployments.
- Research and Prototyping: Stay updated with the latest advancements in computer vision and experiment with new techniques such as deep learning and neural network architectures.
- Collaboration: Work closely with software engineers data scientists and product teams to integrate models into products and optimize deployment.
- Quality Assurance: Test and validate model performance on various datasets and in realworld conditions implementing necessary adjustments.
- Software Engineering: Write APIs should be able to orchestrate model enrichments programmatically interact with SQL/NOSQL database.
Requirements
TechnicalSkills:
- Very strong programming skills and logical reasoning
- Proficiency in Python and frameworks like OpenCV TensorFlow PyTorch or Keras.
- Strong understanding of computer vision techniques including image processing feature extraction activity detection action detection and object recognition.
- Experience with deep learning architectures (CNNs RNNs) and generative models.
- Familiarity with edge computing and deploying vision models on embedded systems or mobile devices.
- Experience with data annotation tools and preparing large annotated datasets for training.
- Experience with Huggingface ecosystem transformers
- Knowledge with Signal processing is plus