Data Science engineer

As a Data Engineer:

• Support R&D and testing teams to fill their specific data requirements, collaborating with our data acquisition team to source and create datasets
• Research, review and catalogue datasets suitable for training, validation, and testing machine learning solutions (audio and imaging)
• Implement or support the development of data acquisition procedures, systems and tools for specific project needs (capture/record, synthesize, crawl)
• Oversee the annotation and verification of datasets working with internal annotation teams and/or external partners
• Curate, process and convert datasets using automated tools to ensure compliance with data format and structure requirements; create tools to support this activity
• Organize data into meaningful collections following standard procedures and in compliance with project requirements
• Perform testing of ML solutions and evaluate relevance and suitability of specific datasets
• Create tools to automate dataset management, to organize and store/upload datasets into data storage systems

Job Requirements:

• BS or MSc Degree in a relevant field and at least 3 years of relevant industry experience
• Solid Python programming skills and experience with version control systems (Git, SVN)
• Experience sourcing or creating data sets for machine learning training or testing
• Experience in processing and converting imaging, audio data and associated metadata
• Experience with data labelling/annotation and working with various metadata formats (text, CSV, JSON, XML)
• Self-motivated, showing initiative, thoroughness and superior attention to details
• Excellent communication skills in both spoken and written English
• Ability to work effectively and independently, managing multiple priorities and meeting deliverable deadlines
• Ability to work well in globally distributed teams

Additional Skills (would be added advantage):

• Experience in project management and development methodologies such as Agile/Scrum/Kanban
• Knowledge of imaging or audio data formats and digital cameras or audio recording systems
• Interest in audio and imaging, data acquisition, processing and analytics
• Experience with cloud platforms
• Knowledge or experience in the creation of synthetic datasets
• Experience using machine learning development tools (PyTorch, TensorFlow, Caffe)