We are seeking a talented and motivated Machine Learning Engineer with strong expertise in computer vision to join our growing team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge computer vision solutions to solve real-world problems and improve customer experiences.
- Design and develop computer vision algorithms and machine learning models to address specific business needs and objectives.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver innovative solutions.
- Train, evaluate, and optimize machine learning models using large-scale datasets and state-of-the-art techniques.
- Implement and maintain scalable and efficient data processing pipelines for model training and evaluation.
- Deploy computer vision models to production environments, ensuring performance, reliability, and scalability.
- Continuously monitor and improve model performance based on real-world feedback and new data.
- Stay up-to-date with the latest research and advancements in computer vision and machine learning, and identify opportunities for leveraging new techniques and technologies.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong understanding of deep learning, convolutional neural networks, and other computer vision techniques.
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Keras) and libraries (e.g., OpenCV or Dlib).
- Experience with cloud-based machine learning platforms, such as AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication and collaboration skills, with a proven track record of delivering results in fast-paced, dynamic environments.
Nice to have:
- Experience with edge AI platforms, such as NVIDIA Jetson or Google Coral.
- Familiarity with CI/CD pipelines and version control systems (e.g., Git, AWS CodePipeline, or Jenkins).
- Experience in developing and deploying solutions for real-time video processing and analysis.
If you are passionate about machine learning and computer vision and want to make a significant impact by creating innovative solutions for real-world problems, we would love to hear from you. Apply now to join our team and start making a difference!
"If you are interested, please send your CV to email@example.com"