Position Summary The graduate AI Engineer is responsible for developing innovative technical solutions, integrating generative AI technologies. This graduate role requires a basic understanding of modern technical and cloud-native practices, AI, and DevOps. You will support a wide range of customers through the “Ideation to MVP” journey, demonstrating eagerness to learn and contribute to a agile and innovative team.
Key Responsibilities
Skill Requirements
Other Requirements
Desired Skills & Experience - Basic understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - Interest in data engineering for AI: Eagerness to learn about data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data.
- Familiarity with AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and eager to implement strategies to mitigate bias. - Basic understanding of cloud-native technologies and DevOps practices. 2 - Willingness to pursue cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat.
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