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, Data Science, 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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