About the Role

Our client, a leader in applying advanced AI technologies to solve complex real-world problems, is seeking a dedicated Deep Learning Engineer with a specialization in Computer Vision. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be at the forefront of developing and implementing cutting-edge deep learning models for image and video analysis. Your work will directly impact the development of innovative products and services that rely on visual intelligence. This role demands a strong theoretical foundation in deep learning, practical experience with large-scale computer vision projects, and a passion for research and development. Join a forward-thinking team that values collaboration, innovation, and continuous learning.

Key Responsibilities

- Research, design, implement, and deploy deep learning models for computer vision tasks (e.g., object detection, segmentation, image classification, facial recognition).
- Develop and optimize algorithms for processing and analyzing large image and video datasets.
- Collaborate with research scientists and other engineers to push the boundaries of computer vision capabilities.
- Develop robust data augmentation and preprocessing pipelines for visual data.
- Fine-tune pre-trained models and develop custom architectures as needed.
- Evaluate model performance rigorously and iterate on improvements.
- Stay current with the latest research papers, techniques, and tools in deep learning and computer vision.




- Contribute to the team's knowledge base and share expertise through documentation and presentations.

Requirements

- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning or Computer Vision.
- 3+ years of hands-on experience developing and implementing deep learning models for computer vision.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of computer vision fundamentals and algorithms.
- Experience with libraries like OpenCV, Pillow, and scikit-image.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Proven ability to work independently and collaboratively in a remote environment.
- Strong analytical and problem-solving skills.

Benefits

As a remote Deep Learning Engineer, you will receive a competitive salary package, comprehensive health and wellness benefits, and significant opportunities for professional growth. Our client offers a adaptable work schedule and a culture that promotes innovation and work-life balance. You will have access to state-of-the-art tools and resources, participate in groundbreaking AI projects, and work alongside a team of highly motivated experts in the field. Continuous learning is encouraged through workshops, training, and conference attendance, all supporting your career advancement in the exciting domain of computer vision and artificial intelligence.

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📌 Ingeniero de Aprendizaje Profundo - Visión por Computadora (Heroica Puebla de Zaragoza)
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📍 Heroica Puebla de Zaragoza