Job Description
- Creating and managing the AI development process and overall infrastructure of a product.
- Conducting statistical analysis and interpreting the results to guide an organization's 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:Required Skills
- 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 aren't programming experts.
- Programming - Python and R.
- Excellent written and verbal communication skills.
- Teamwork skills.
- Critical thinking skills.
- Problem solving and debugging skills.
Experience
- 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.
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