Avatar for eKare

Advanced wound management platform using computer vision and machine intelligence

Data Engineer

Apply now
We are looking for a Data Engineer with exceptional statistics and programming skills to help develop AI products for a healthcare company.

Responsibilities
• Research, design and implement appropriate ML algorithms and tools
• Select appropriate datasets and data representation methods
• Run machine learning tests and perform statistical analysis and fine-tuning using test results
• Drive innovation by identifying and formulating new problems, publishing papers, filing patents, etc.
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks

Requirements
• Proven experience as a Machine Learning Engineer or similar role
• PhD degree in a closely related field (e.g.: computer science/engineering, optimization) with publications in the area is strongly preferred
• Or Masters with significant experience in advertising and Machine Learning
• Experience in one or more of the following areas: machine learning, data mining, statistical modeling, optimization, algorithms, big-data, game theory
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Familiarity with machine learning frameworks (like Keras, PyTorch, or TensorFlow) and libraries (like scikit-learn)
• Experience working in an Agile environment
• Knowledge of Hadoop or other distributed computing systems
• You utilize excellent interpersonal and communication skills
• Contributions to research communities, e.g. ACL, NIPS, ICML, CVPR, etc.
• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus