techniques and platforms. Applying statistics, machine learning, and analytical approaches to solve business information needs. Building predictive models and machine-learning algorithms to answer critical business questions process mapping abilities. Understanding of machine learning and operations research. Knowledge of R and
Comfortable with either Python or R. Interest in machine learning techniques and algorithms. Exposure to the the data science life cycle Exposure to machine learning techniques and algorithms, such as k-NN, Naive
solutions, supporting DevOps practices, applying machine learning techniques, and creating data visualisations infrastructure and solutions as code. Integrate machine learning models into data processes and ML platform operation. · ML Engineering : Experience with machine learning frameworks and model integration. · Data Visualisation
solutions, supporting DevOps practices, applying machine learning techniques, and creating data visualisations infrastructure and solutions as code. Integrate machine learning models into data processes and ML platform operation. · ML Engineering : Experience with machine learning frameworks and model integration. · Data Visualisation
Previous experience with AI technologies & Machine Learning Platforms highly advantageous Should you meet
dashboards, apply advanced statistical and machine learning techniques to enhance business forecasting Predictive Modelling Apply statistical and machine learning techniques to build predictive models that
continuous integration, continuous deployment, etc. Machine learning or artificial intelligence concepts Cybersecurity (e.g., Docker, Kubernetes) Familiarity with machine learning or artificial intelligence concepts Certification
closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to
closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to
other chatbot frameworks; Knowledge of NLP and machine learning; Strong understanding of RESTful API's and