Creating and managing the AI development process and overall infrastructure of a product;
Conducting statistical analysis and interpreting the results to guide an organizations decision-making process;
Automating important infrastructure for the data science team;
Developing infrastructures for data transformation and ingestion;
Building AI models that make predictions based on large quantities of data;
Explaining the usefulness of the AI models they create to a wide range of individuals within the organization, including collaborators and product managers;
Transforming the AI models into APIs to interact with other applications;
Performing statistical analysis and using results to improve models;
Training and retraining ML systems and models as needed;
Identifying differences in data distribution that could affect model performance in real-world situations;
Visualizing data for deeper insights;
Namizədə tələblər
Exceptional mathematical and satistics, in order to perform computations and work with algorithms;
Strong Intuition About Data;
Strong analytical skills;
High attention to detail;
Innovation and creativity;
Data science and software engineering background;
The ability to work with large and complex datasets;
The ability to explain complex process to people who arent programming experts;
Programming - Python and R;
Excellent written and verbal communication skills;
Teamwork skills;
Critical thinking skills;
Problem solving and debugging skills;
AI tecnologies and metodologies;
Spark and Hadoop;
Python and R Programming;
Apache Kafka;
MATLAB;
Google Cloud ML Engine;
Amazon Machine Learning;
Visualization tools;
Education Artificial intelligence courses - an advantage;
Bizi izləməyi unutma
