Software Developer with AI

As a Software Developer, you will perform the following tasks/services:

• Perform the design, implementation, and optimization of scalable AI based software solutions indicated by the client.
• Research, review, test and suggest for selection by the client of open source AI models to perform specific data processing tasks.
• Integrate AI models indicated by the client in modular components and build pipelines combining multiple AI based modules.
• Implement features and fixes in existing software products using Python as programming language.
• Compile relevant technical documentation, recording technical decisions, and provide usage instructions so others can understand and work with the software concerned.
• Perform unit and integration tests, finding and fixing defects, and verifying that the software behaves as intended.
• Perform any other relevant task as requested.

Mandatory:

• Bachelor's degree
• English language proficiency at minimum B2 level
• At least 6 years of experience in the IT field
• A minimum of 2 years of experience in ICT development of AI based software solutions.
• Participation in a minimum of 1 project integrating AI models.
• Participation in a minimum of 1 project involving the integration of AI models in modular components and/or building pipelines combining multiple AI based modules.
• A minimum of 2 years of experience with: writing clean, efficient, and scalable code using Python as programming languages.
• Good working knowledge of Python.
• Good knowledge of AI and machine learning fundamentals.
• Good knowledge of software architecture, APIs, microservices, and Docker.
• Good knowledge of software development methodologies (e.g. AGILE).

Desirable:

• Experience with: performing design, implementation, and optimization of scalable AI based software solutions.
• A minimum of 1 year of experience with: building test sets and automated evaluations to measure system performance and model accuracy, detecting regressions after model or prompting changes, and complementing standard unit and integration tests.
• Good knowledge of basic statistics and evaluation metrics (precision, recall, F1, error rates).
• Ability to participate in multi-lingual meetings, ease of communication.
• Capability of integration in an international/multi-cultural environment.
• Ability to cope with fast changing technologies used in application developments.