COMPANY DESCRIPTION

Sparrow BioAcoustics is a Canadian company specializing in the creation of medical-grade cardiac and pulmonary data collection and analysis tools. Our patented technology allows smartphones to be used as clinical-grade devices for cardiac signals, capable of aiding in the early detection of numerous large-scale diseases affecting the world’s population.

JOB DESCRIPTION

AI Developer will develop intelligent algorithms capable of learning, analyzing, and predicting future events.

Responsibilities include:

• Coordinate between Data Scientists and Business Analysts
• Automate infrastructure used by the Data Science team
• Test and deploy models
• Develop minimum viable products based on machine learning
• Automate processes by utilizing machine learning
• Impart novel capabilities using AI
• Come up with improvements to machine-learning algorithms
• Utilize modern software development methodologies, and deploy software in production
• Advanced coding in various languages
• Coordinating with multiple teams internally and externally
• Conduct statistical analysis and interpret the results essential in the decision-making process for the organization
• Automate important infrastructure for the data science team
• Develop infrastructures for data transformation and ingestion
• Build AI models and explain results to stakeholders and product managers
• Transform machine learning models into APIs that other applications can interact with
• Data mining from multiple sources and deriving insights
• Design and implement ML algorithms
• Accelerate existing algorithms and models
• Conduct research to provide technical solutions at scale for real-world challenges in various scenarios
• Establish scalable model validation, model implementation, and large-scale data analysis
• Additional duties as assigned

Qualifications

• Coordinate between Data Scientists and Business Analysts
• Automate infrastructure used by the Data Science team
• Test and deploy models
• Develop minimum viable products based on machine learning
• Automate processes by utilizing machine learning
• Impart novel capabilities using AI
• Come up with improvements to machine-learning algorithms
• Utilize modern software development methodologies, and deploy software in production
• Advanced coding in various languages
• Coordinating with multiple teams internally and externally
• Conduct statistical analysis and interpret the results essential in the decision-making process for the organization
• Automate important infrastructure for the data science team
• Develop infrastructures for data transformation and ingestion
• Build AI models and explain results to stakeholders and product managers
• Transform machine learning models into APIs that other applications can interact with
• Data mining from multiple sources and deriving insights
• Design and implement ML algorithms
• Accelerate existing algorithms and models
• Conduct research to provide technical solutions at scale for real-world challenges in various scenarios
• Establish scalable model validation, model implementation, and large-scale data analysis
• Additional duties as assigne