AI Model Development Specialist
1 week ago
We seek an accomplished machine learning expert to drive AI model development and implementation for real-world applications.
You'll collaborate with our team on applied AI/ML tasks, utilizing large datasets to prepare, annotate, preprocess, and augment data for training purposes.
Key Responsibilities:- Train, fine-tune, and deploy ML models for AI-based tasks.
- Work with massive datasets, handling preparation, annotation, preprocessing, and augmentation for training purposes.
- Design, implement, and test ML architectures to enhance accuracy, speed, and performance.
- Analyze and optimize model performance based on results and metrics.
- Document research findings and contribute to team knowledge and project reports.
- Participate in code reviews and uphold software development best practices.
- Stay updated with the latest trends and research in computer vision and applied machine learning.
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong foundation in AI/ML concepts, data cleaning, synthetic data generation, and other relevant skills.
- Hands-on experience with MLOps.
- Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD).
- Proficiency in programming languages such as Python.
- Experience with OpenCV and PyTorch is mandatory.
- Experience with Statistical Analysis and modeling is advantageous.
- Experience with CUDA and GPU acceleration is beneficial.
- Experience with ROS and C++ is highly desirable.
- Knowledge of data cleaning techniques and data preprocessing methods.
- Familiarity with version control systems like Git.
- Experience in deploying models into production environments (optional).
- Exposure to ROS and OpenCV in C++.
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