We are an age-tech startup revolutionising healthcare with real-time data. We are creating a connected-care ecosystem that uses AI-enabled Health Algorithms and medical devices (IoT & Wearables) to digitise medical information exchange. In short, we want to allow older adults to live independently at their homes and enjoy their moments while keeping everyone informed. Our mission is to provide doctors, carers and family relatives with predictive tools capable of picking up health problems before they become severe, therefore saving time, money and lives.
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be creating machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities in the Healthcare sector.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
If you think you are the best match for the above, please do not hesitate to apply today. We are looking forward to e-meeting you!
PCL Health Team