Address real-world challenges by developing and deploying vision-based AI solutions
Requirements
- Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools
- Experience with data manipulation tools such as Pandas, NumPy, and SQL
- Strong programming skills in Python and C++
- Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm
- Proficiency in working with image and video data, including preprocessing and augmentation techniques
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning
Responsibilities
- Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition
- Optimize and fine-tune deep learning algorithms for real-time performance
- Collect, clean, and preprocess large datasets to prepare for model training and evaluation
- Evaluate and optimize machine learning models for accuracy, performance, and scalability
- Deploy models into production environments and monitor their performance to ensure reliability
- Stay up-to-date with the latest advancements in computer vision and artificial intelligence
- Collaborate with cross-functional teams to integrate machine learning solutions into business processes
Other
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- Strong communication skills and the ability to work collaboratively in a team environment
