● Master’s degree in a related field is a strong plus
● Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
● Strong foundational skills in Linux Operating System.
● Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
● Background in credit risk, financial data analytics or risk modeling.
● Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
● Experience in Business Intelligence, data visualization, and customer insights
generation.
● Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
● Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
● Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
● Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
● Contributions to the AI community through publications, open-source projects, or conference presentations.