Python Job: AI Engineer

• Bring your skills and knowledge to an innovative and growing workplace
• Work and collaborate with a team who has become one of the best in the industry
• Use industry-leading technology and the best tools available to ensure success
• Work in a stable industry with strong growth potential

‍ Responsibilities

• Participate in the design and development of machine learning and deep learning solutions
• Shape and build efficient machine learning applications.
• Running machine learning experiments using the state of the art models.
• Data collection, cleaning, and preprocessing to train and test models.
• Train deep learning models for custom use cases.
• Document training process and report metrics of performance and accuracy.
• Identify bias in current deep learning models and propose improvements.
• Collaborate with Back-end engineers to build data and model pipelines.
• Implement computer vision algorithms for specific use cases.
• Optimize deep learning models for real time processing.

Qualifications

• Experience with Python for Machine Learning or Big data (e.g. Numpy, Pandas, scikit-learn, OpenCV).
• Knowledge of Machine Learning/Deep Learning concepts, theory and frameworks. (e.g. Tensorflow, TensorRT, Keras, Pytorch, Openvino).
• Knowledge of data structures, data modeling and software architecture.
• Understanding of math, probability, statistics and algorithms.
• Excellent communication skills.
• Ability to work in a team.
• Outstanding analytical and problem-solving skills.
• Experience working with distributed worldwide development teams in an Agile environment.
• BSc in Computer Science, Mathematics, Physics or similar field; Master’s degree is a plus.
• English intermediate level.
• Nice to have
• Experience with Docker.
• Knowledge of image and video formats and compression algorithms.
• Knowledge of deep learning model optimization techniques.

Benefits

• Competitive compensation in USD.
• Hybrid work model (We are Remote-First, but you can come to the office just feel like it).
• Paid Vacation Time.
• Reduced Work Week.
• English Lessons.
• Tech platform to enhance your knowledge.
• Referral Program.
• Flexible Work & WFA (Work From Anywhere, literally).
• Celebrations, gifts, and much more.