Degree in Computer Science with 12+ years in experience
Proficient in Programming Languages: Python, Java, Scala, and others.
Proficient in writing clean and efficient code to implement machine learning algorithms.
Deep understanding of various machine learning algorithms such as regression, classification, clustering, and deep learning
Familiarity with popular Client frameworks such as TensorFlow, PyTorch, or scikit-learn
Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes.
Cloud Knowledge: Proficient in cloud computing technologies.
Banking Data Knowledge: Familiarity with banking data structures and requirements.
Architecture design and modeling: should possess strong skills in designing and modeling complex systems and architectures.
Ability to create scalable, reliable, and efficient solutions that meet business requirements.
Docker and Kubernetes Proficiency: Proficient with containerization and orchestration using Docker and Kubernetes.
Bachelor's degree in Computer Science