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2 weeks ago
We are seeking a highly skilled and innovative Research and Development Engineer to lead the design, development, and optimization of cutting-edge deep learning models for computer vision and Large Language Model (LLM) applications.
Key Responsibilities:
- Design and Implement Advanced Algorithms: Develop and implement state-of-the-art algorithms in Machine Learning/Deep Learning, ensuring scalability and performance.
- Dataset Management: Preprocess, annotate, and manage large datasets for training and evaluation purposes.
- Cloud Deployment: Deploy ML models on cloud environments (AWS, Azure, or GCP) for real-world use cases.
- Collaboration and Solution Implementation: Collaborate with cross-functional teams to translate research into production-ready solutions.
- Experimentation and Benchmarking: Experiment, benchmark, and document innovative approaches for continuous improvement.
Must-Have Skills:
- Computer Vision Expertise: Strong understanding of Computer Vision concepts (object detection, image segmentation, feature extraction).
- Deep Learning Frameworks: Proficiency in Deep Learning frameworks PyTorch, TensorFlow.
- Image Processing: Experience with OpenCV for image/video processing.
- Large Language Models: Familiarity with Large Language Models (LLMs) and their integration.
- Cloud Platforms: Hands-on experience with cloud platforms AWS, Azure, or GCP.
- Software Engineering: Solid grasp of data structures, algorithms, and software engineering best practices.
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