Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended. Master’s degree in Artificial Intelligence a plus
6+ years of experience working in AI /Machine Learning Engineering role
Proficient in Python and SQL
Deep knowledge of ML techniques, including linear algebra and statistics
Working experience of at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, Keras)
Knowledge of object detection, tracking, semantic or instance segmentation in computer vision; NLP
Nice to have experience with Generative AI
Proficient in software design patterns (e.g. writing abstract, reusable, and modular code)
Experience with at least one cloud provider solution (AWS, GCP, Azure)
Relevant working experience with Docker and Kubernetes is a plus
Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
Experience working in an AGILE development team.
Excellent communication & presentation skills
Outstanding analytical and problem-solving skills
Long Description
Qualifications:
Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended. Master’s degree in Artificial Intelligence a plus
6+ years of experience working in AI /Machine Learning Engineering role
Proficient in Python and SQL
Deep knowledge of ML techniques, including linear algebra and statistics
Working experience of at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, Keras)
Knowledge of object detection, tracking, semantic or instance segmentation in computer vision; NLP
Nice to have experience with Generative AI
Proficient in software design patterns (e.g. writing abstract, reusable, and modular code)
Experience with at least one cloud provider solution (AWS, GCP, Azure)
Relevant working experience with Docker and Kubernetes is a plus
Ability to quickly prototype ideas and solve complex problems by adapting creative approaches