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Responsibilities
- End-to-End AI Development:
- Prototype scenarios that span AI to UX for end users.
- Optimize AI performance through effective prompt engineering.
- Design and implement solutions using Azure OpenAI & other Azure services.
- Leverage data and AI tools to design intelligent solutions that meet feature requirements.
- Integrate Azure AI services with existing systems.
- Documentation:
- Ensure clear documentation of code, processes, and workflows.
- Collaboration & Co-Creation:
- Understand project requirements and AI architecture through close teamwork.
- Work with design and product teams to translate customer needs into technical software and AI solutions.
- Co-create use cases with businesses that can harness generative AI.
- Educate technical and business leaders on generative AI usage and capabilities.
- Technological Awareness:
- Stay updated with AI and machine learning trends, continually improving your knowledge with training.
- Participate in code reviews and knowledge-sharing sessions to ensure best practices in development.
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Experience: Proven track record in designing, developing, and implementing AI projects, particularly with OpenAI and large language models.
- Technical Skills:
- In-depth knowledge of pre-trained language models, especially GPT.
- Expertise in Agentic Approach (OpenAI Agent SDK, MCP Tools).
- Proficient in programming with Python.
- Experience with API development and integration of RESTful APIs.
- Familiarity with Azure AI services and cloud architecture, including Azure Functions and SQL databases.
- Experience with Business Intelligence processes and ETL/ELT development.
- Soft Skills:
- Ability to collaborate effectively within multidisciplinary teams.
- Strong problem-solving, communication, and presentation skills.
- Proactive mindset in finding solutions and taking initiative.
- Detail-oriented with a strong adherence to software development standards, particularly DevOps practices.
- Language Requirements: Fluency in Dutch or French and English.
- Innovative Projects: Engage in cutting-edge AI projects that challenge the status quo.
- Collaborative Culture: Become part of a team that fosters collaboration, continuous learning, and knowledge sharing.
- Professional Development: Access to opportunities for continuous learning, including conferences and specialized training.
- Impactful Solutions: Contribute to projects that influence the future of the automotive and mobility industries.
Key Skills
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