
AI Innovation Lead
3 days ago
To succeed in this role, you will need:
- BSc, MSc or PhD in Computer Science, Computer Engineering, Engineering Physics, relevant technical field.
- 10+ years of experience in testing, maintaining, launching AI/ML products, working with MLOps best practices and DevOps environment (CI/CD pipelines, Docker, container orchestration).
- Experience in training, evaluation, fine-tuning and deployment of predictive models; including feature selection, hyper-parameter tuning, error analysis and data visualisation.
- Experience in Generative AI (Large Language Models, Embeddings Models, building RAG and agentic solutions).
- Experience working with public cloud providers (AWS, Azure or GCP), especially their serverless, generative AI (e.g., AWS Bedrock), ML (e.g., AWS SageMaker), or data storage services as well as Infrastructure as Code (IaC).
- Skilled at transforming complex ideas into clear, engaging explanations—whether you're presenting to a technical team or breaking things down for non-experts.
If you have a strong background in AI and machine learning, and excellent communication skills, we encourage you to apply.
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