Skill: Machine Learning Python Developer
Candidate should have practical experience in implementing machine learning project end to end.
They should be able to clearly explain the problem, machine learning solution, and how it effectively addresses the issue. What was their specific role?
Experience with TensorFlow, Kafka would be a huge plus.
Candidate to demonstrate sound understanding of the implementation.
This LOB has no machine learning implementation, but opportunities do exist to leverage machine learning to make various processes efficient.
Candidate should be able to work independently, understand the bank’s process, and get things moving.
Customer is not expecting this candidate to learn on the job.
Proven experience as a Machine Learning Engineer or similar role.
Understanding of data structures, data modeling, and software architecture.
Deep knowledge of math, probability, statistics, and algorithms.
Ability to write robust code in Python, Java, and R.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
Excellent communication skills.
Ability to work in a team.
Outstanding analytical and problem-solving skills.