About this position

The Senior Computer Vision Engineer will be responsible for leading the end-to-end architecture of deep learning solutions. Responsible of reporting the progress of the projects in the artificial intelligence department and becoming a mentor of engineers with a lower level of experience.

Qualifications:

• BS or MS in Computer Science/Mechatronics/ Robotics or related field.
• Professional understanding of the English language is a must (written, read, and spoken).
• Strong knowledge in the training/deploying models for deep learning solutions.
• Strong Knowledge of deep learning distributed frameworks (Keras, Pytorch (DDP), TensorFlow, Ray, etc.).
• Cloud technologies experience for Deep Learning Solutions (AW ML/SageMaker/EC2/S3, GCP, etc.).
• Experience with real-time Video Processing and GPU programming.
• Expertise in digital/analog camera processing pipelines, image quality metrics is a plus.

Activities:

• Lead the end-to-end architecture (design and implementation) for Deep Learning Solutions.
• Architect and develop a highly scalable, distributed, and micro-services backend solution.
• Lead the continues integration, best practices and deploy of deep learning models.
• Define and develop advanced algorithms for real time image and video processing.
• Standardized the features videos (codes, fps, resolution, quality, illumination) to obtain the best input for deep learning solutions.

Tools:

• C/C++/python programming skills.
• Experience using containers (Dockers, Kubernetes) is a plus.
• Expertise in Big Data technologies (Kafka, Apache Spark, Hadoop) is a plus.

Soft skills:

• Positive Attitude.
• Teamwork.
• Cooperation.
• Communication (good written and oral communication).
• Adaptability Creativity.
• Dealing with difficult situations.