- 5-7 years of experience in architecting, positioning and delivering data science and machine learning
- Experience with Supervised and Unsupervised learning algorithms, valuable to have experience on Classification algorithms
- Experience with Document Type classifier, Pattern matching and PII identification
- Hands on experience in model training, drift detection and feature generation
- Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).
- Expertise in LLMs, transformer architectures, and generative modeling.
- Experience with MLOps tools (MLflow, Kubeflow) and deployment on cloud platforms (GCP, AWS, Azure).
- Familiarity with prompt engineering, RAG systems, and vector databases.
- Knowledge of containerization (Docker, Kubernetes) and distributed computing.
- Ability to identify network attacks and systemic security issues as they relate to threats and vulnerabilities, with focus on recommendations for enhancements or remediation
- Dev-ops and application security & data security experience
- Securing highly available internet banking application
- Excellent written and spoken communication skills; an ability to
- communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences