
Machine Learning Engineer
3 weeks ago
We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you'll collaborate with our team and works various applied AI/ML tasks.
Key Responsibilities -
- Assist in training and fine-tuning ML models for real-time AI-based tasks.
- Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes.
- Implement and test model architectures to improve accuracy, speed, and performance.
- Help analyze and optimize model performance based on results and metrics.
- Document research and findings, contributing to team knowledge and project reports.
- Participate in code reviews and contribute to software development best practices.
- Stay updated with the latest trends and research in computer vision and applied ML.
Qualifications -
- Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field.
- Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts.
- 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 a must.
- Experience with Statistical Analysis and modeling is a plus.
- Experience with CUDA and GPU acceleration is a plus.
- Experience with ROS and C++ is also a huge plus.
- Strong problem-solving skills, attention to detail, and a collaborative mindset.
Preferred Skills -
- 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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