Machine Learning Engineer

We are seeking a highly skilled and passionate Machine Learning Engineer to join our team. This role involves developing cutting-edge machine learning models and algorithms with a focus on computer vision, object detection, segmentation, and tracking. If you are eager to advance the field of artificial intelligence and have a strong background in machine learning, we would love to hear from you.

Key Responsibilities

Design and develop machine learning models and algorithms, specializing in computer vision and image processing tasks.
Implement and optimize object detection, segmentation, and tracking systems using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Work with OpenCV for advanced image processing tasks and apply motion tracking methods to real-world scenarios.
Collaborate with interdisciplinary teams to integrate machine learning solutions into larger systems, ensuring scalability and efficiency.
Deploy machine learning models on edge devices, optimizing for performance and resource constraints.


Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
At least 2 years of hands-on experience in machine learning and computer vision.
Proficiency in Python and familiarity with libraries such as NumPy, pandas, and scikit-learn.
Expertise in OpenCV and deep learning frameworks like TensorFlow, PyTorch, or Keras.
Experience with hardware-accelerated platforms (CUDA, GPUs) for model training.
Strong problem-solving skills and excellent communication abilities.
Experience with containerization technologies (Docker) is a plus.