Position: AI Engineer
Company: IntellectEU
Category: Python
Experience required: 1y
English level: upper

As an **AI engineer**, you will be one of the founding members of IntellectEU's AI & data tribe. This implies that you will not only work on client projects but also help to define a strategy about expanding the technical team in a future-proof and scalable way. Be ready to take up multiple data-related roles in a fast-growing, international organization.

**Responsibilities:**

- Tweak ML models and algorithms to apply to data sets.
- Focus on the development of production-ready, scaleable AI-pipelines and models.
- Deploy AI-pipelines and models using one of the big cloud providers (client specific).
- Make use of A/B testing frameworks to test model quality.
- Make use of processes and tools to monitor and analyze model performance and data accuracy.
- Create and maintain optimal, scaleable data pipeline architectures for a variety of clients.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud provider's ‘big data’ technologies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

**Qualifications:**

- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
- Experience using Python and AI-related libraries (Keras, Tensorflow, Pytorch, scikit-learn, pandas...) to manipulate data and draw insights from large data sets.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Experience with big data tools such as **Hadoop, Spark or Kafka**
- Experience with data pipeline and workflow management tools.
- Experience with different cloud providers (GCP, AWS, Azure).
- Specific knowledge of Time Series Forecasting is a plus.
- Strong problem-solving skills.
- Strong project management and organizational skills.
- Highly proficient in spoken and written English.